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This page was generated on 2020-04-14 17:46:29 -0400 (Tue, 14 Apr 2020).

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RegParallel 1.4.0Kevin Blighe
| malbec1 | Linux (Ubuntu 18.04.4 LTS) / x86_64 | OK | [ ERROR ] | skipped |

Package: RegParallel |

Version: 1.4.0 |

Command: /home/biocbuild/bbs-3.10-bioc/R/bin/R CMD build --keep-empty-dirs --no-resave-data RegParallel |

StartedAt: 2020-04-14 12:24:54 -0400 (Tue, 14 Apr 2020) |

EndedAt: 2020-04-14 12:27:41 -0400 (Tue, 14 Apr 2020) |

EllapsedTime: 167.0 seconds |

RetCode: 1 |

Status: ERROR |

PackageFile: None |

PackageFileSize: NA |

############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.10-bioc/R/bin/R CMD build --keep-empty-dirs --no-resave-data RegParallel ### ############################################################################## ############################################################################## * checking for file ‘RegParallel/DESCRIPTION’ ... OK * preparing ‘RegParallel’: * checking DESCRIPTION meta-information ... OK * installing the package to build vignettes * creating vignettes ... ERROR --- re-building ‘RegParallel.Rmd’ using rmarkdown Loading required package: doParallel Loading required package: foreach Loading required package: iterators Loading required package: parallel Loading required package: data.table Loading required package: stringr Loading required package: survival Loading required package: arm Loading required package: MASS Loading required package: Matrix Loading required package: lme4 arm (Version 1.10-1, built: 2018-4-12) Working directory is /tmp/RtmpeyjDXO/Rbuild18e2ea973db/RegParallel/vignettes Loading required package: SummarizedExperiment Loading required package: GenomicRanges Loading required package: stats4 Loading required package: BiocGenerics Attaching package: 'BiocGenerics' The following object is masked from 'package:Matrix': which The following objects are masked from 'package:parallel': clusterApply, clusterApplyLB, clusterCall, clusterEvalQ, clusterExport, clusterMap, parApply, parCapply, parLapply, parLapplyLB, parRapply, parSapply, parSapplyLB The following objects are masked from 'package:stats': IQR, mad, sd, var, xtabs The following objects are masked from 'package:base': Filter, Find, Map, Position, Reduce, anyDuplicated, append, as.data.frame, basename, cbind, colnames, dirname, do.call, duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted, lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table, tapply, union, unique, unsplit, which, which.max, which.min Loading required package: S4Vectors Attaching package: 'S4Vectors' The following object is masked from 'package:Matrix': expand The following objects are masked from 'package:data.table': first, second The following object is masked from 'package:base': expand.grid Loading required package: IRanges Attaching package: 'IRanges' The following object is masked from 'package:data.table': shift Loading required package: GenomeInfoDb Loading required package: Biobase Welcome to Bioconductor Vignettes contain introductory material; view with 'browseVignettes()'. To cite Bioconductor, see 'citation("Biobase")', and for packages 'citation("pkgname")'. Loading required package: DelayedArray Loading required package: matrixStats Attaching package: 'matrixStats' The following objects are masked from 'package:Biobase': anyMissing, rowMedians Loading required package: BiocParallel Attaching package: 'DelayedArray' The following objects are masked from 'package:matrixStats': colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges The following objects are masked from 'package:base': aperm, apply, rowsum estimating size factors estimating dispersions gene-wise dispersion estimates mean-dispersion relationship final dispersion estimates fitting model and testing ############################## #RegParallel ############################## System is: -- Linux Blocksize: -- 500 170 variables have all zeros! Removing these... Now testing 2821 variables Cores / Threads: -- 3 Terms included in model: -- dex First 5 formulae: -- dex ~ ENSG00000000003 -- dex ~ ENSG00000000419 -- dex ~ ENSG00000000457 -- dex ~ ENSG00000000460 -- dex ~ ENSG00000000938 Processing 500 formulae, batch 1 of 6 -- index1: 1; index2: 500 Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Processing 500 formulae, batch 2 of 6 -- index1: 501; index2: 1000 Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Processing 500 formulae, batch 3 of 6 -- index1: 1001; index2: 1500 Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning:Warning: glm.fit: algorithm did not converge glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning:Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning:Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning:Warning: glm.fit: algorithm did not converge glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning:Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Processing 500 formulae, batch 4 of 6 -- index1: 1501; index2: 2000 Processing 500 formulae, batch 5 of 6 -- index1: 2001; index2: 2500 Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Processing final batch 6 of 6 -- index1: 2501; index2: 2821 Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning:Warning: glm.fit: algorithm did not converge glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning:Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: algorithm did not converge Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred Done! ############################## #RegParallel ############################## System is: -- Linux Blocksize: -- 500 101 variables have all zeros! Removing these... Now testing 1890 variables Cores / Threads: -- 3 Terms included in model: -- cell First 5 formulae: -- ENSG00000000003 ~ cell -- ENSG00000000419 ~ cell -- ENSG00000000457 ~ cell -- ENSG00000000460 ~ cell -- ENSG00000000938 ~ cell Processing 500 formulae, batch 1 of 4 -- index1: 1; index2: 500 Processing 500 formulae, batch 2 of 4 -- index1: 501; index2: 1000 Processing 500 formulae, batch 3 of 4 -- index1: 1001; index2: 1500 Processing final batch 4 of 4 -- index1: 1501; index2: 1890 Done! ############################## #RegParallel ############################## System is: -- Linux Blocksize: -- 500 101 variables have all zeros! Removing these... Now testing 1890 variables Cores / Threads: -- 3 Terms included in model: -- cell First 5 formulae: -- ENSG00000000003 ~ cell -- ENSG00000000419 ~ cell -- ENSG00000000457 ~ cell -- ENSG00000000460 ~ cell -- ENSG00000000938 ~ cell Processing 500 formulae, batch 1 of 4 -- index1: 1; index2: 500 Processing 500 formulae, batch 2 of 4 -- index1: 501; index2: 1000 Processing 500 formulae, batch 3 of 4 -- index1: 1001; index2: 1500 Processing final batch 4 of 4 -- index1: 1501; index2: 1890 Done! ############################## #RegParallel ############################## System is: -- Linux Blocksize: -- 500 170 variables have all zeros! Removing these... Now testing 2821 variables Cores / Threads: -- 3 Terms included in model: -- dex First 5 formulae: -- ENSG00000000003 ~ dex -- ENSG00000000419 ~ dex -- ENSG00000000457 ~ dex -- ENSG00000000460 ~ dex -- ENSG00000000938 ~ dex Processing 500 formulae, batch 1 of 6 -- index1: 1; index2: 500 Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Processing 500 formulae, batch 2 of 6 -- index1: 501; index2: 1000 Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Processing 500 formulae, batch 3 of 6 -- index1: 1001; index2: 1500 Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Processing 500 formulae, batch 4 of 6 -- index1: 1501; index2: 2000 Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Processing final batch 6 of 6 -- index1: 2501; index2: 2821 Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Processing 500 formulae, batch 5 of 6 -- index1: 2001; index2: 2500 Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > :Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > :Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in sqrt(1/i) : NaNs produced Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > :Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace > : iteration limit reached Done! Warning in rm(dds, nbdata, nbcounts, rlogdata, rlogcounts, data, airway) : object 'data' not found Setting options('download.file.method.GEOquery'='auto') Setting options('GEOquery.inmemory.gpl'=FALSE) Found 1 file(s) GSE2990_series_matrix.txt.gz trying URL 'https://ftp.ncbi.nlm.nih.gov/geo/series/GSE2nnn/GSE2990/matrix/GSE2990_series_matrix.txt.gz' Content type 'application/x-gzip' length 16680570 bytes (15.9 MB) ================================================== downloaded 15.9 MB Parsed with column specification: cols( .default = col_double(), ID_REF = col_character() ) See spec(...) for full column specifications. ############################## #RegParallel ############################## System is: -- Linux Blocksize: -- 2000 Cores / Threads: -- 3 Terms included in model: -- Time.RFS -- Distant.RFS First 5 formulae: -- Surv(Time.RFS, Distant.RFS) ~ X1007_s_at -- Surv(Time.RFS, Distant.RFS) ~ X1053_at -- Surv(Time.RFS, Distant.RFS) ~ X117_at -- Surv(Time.RFS, Distant.RFS) ~ X121_at -- Surv(Time.RFS, Distant.RFS) ~ X1255_g_at Processing 2000 formulae, batch 1 of 12 -- index1: 1; index2: 2000 Processing 2000 formulae, batch 2 of 12 -- index1: 2001; index2: 4000 Processing 2000 formulae, batch 3 of 12 -- index1: 4001; index2: 6000 Warning in fitter(X, Y, istrat, offset, init, control, weights = weights, : Loglik converged before variable 1 ; coefficient may be infinite. Processing 2000 formulae, batch 5 of 12 -- index1: 8001; index2: 10000 Processing 2000 formulae, batch 4 of 12 -- index1: 6001; index2: 8000 Processing 2000 formulae, batch 6 of 12 -- index1: 10001; index2: 12000 Processing 2000 formulae, batch 8 of 12 -- index1: 14001; index2: 16000 Processing 2000 formulae, batch 7 of 12 -- index1: 12001; index2: 14000 Processing 2000 formulae, batch 9 of 12 -- index1: 16001; index2: 18000 Processing 2000 formulae, batch 11 of 12 -- index1: 20001; index2: 22000 Processing 2000 formulae, batch 10 of 12 -- index1: 18001; index2: 20000 Processing final batch 12 of 12 -- index1: 22001; index2: 22215 Warning in fitter(X, Y, istrat, offset, init, control, weights = weights, : Loglik converged before variable 1 ; coefficient may be infinite. Done! Quitting from lines 275-289 (RegParallel.Rmd) Error: processing vignette 'RegParallel.Rmd' failed with diagnostics: Internal Server Error (HTTP 500). --- failed re-building ‘RegParallel.Rmd’ SUMMARY: processing the following file failed: ‘RegParallel.Rmd’ Error: Vignette re-building failed. Execution halted