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This page was generated on 2022-04-13 12:08:33 -0400 (Wed, 13 Apr 2022).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo2Linux (Ubuntu 20.04.4 LTS)x86_644.1.3 (2022-03-10) -- "One Push-Up" 4324
tokay2Windows Server 2012 R2 Standardx644.1.3 (2022-03-10) -- "One Push-Up" 4077
machv2macOS 10.14.6 Mojavex86_644.1.3 (2022-03-10) -- "One Push-Up" 4137
Click on any hostname to see more info about the system (e.g. compilers)      (*) as reported by 'uname -p', except on Windows and Mac OS X

CHECK results for predictionet on machv2


To the developers/maintainers of the predictionet package:
- Please allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/predictionet.git to
reflect on this report. See How and When does the builder pull? When will my changes propagate? for more information.
- Make sure to use the following settings in order to reproduce any error or warning you see on this page.

raw results

Package 1453/2083HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
predictionet 1.40.0  (landing page)
Benjamin Haibe-Kains
Snapshot Date: 2022-04-12 01:55:07 -0400 (Tue, 12 Apr 2022)
git_url: https://git.bioconductor.org/packages/predictionet
git_branch: RELEASE_3_14
git_last_commit: 7abbaec
git_last_commit_date: 2021-10-26 12:00:48 -0400 (Tue, 26 Oct 2021)
nebbiolo2Linux (Ubuntu 20.04.4 LTS) / x86_64  OK    OK    WARNINGS  UNNEEDED, same version is already published
tokay2Windows Server 2012 R2 Standard / x64... NOT SUPPORTED ...
machv2macOS 10.14.6 Mojave / x86_64  OK    OK    WARNINGS    OK  UNNEEDED, same version is already published

Summary

Package: predictionet
Version: 1.40.0
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:predictionet.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings predictionet_1.40.0.tar.gz
StartedAt: 2022-04-12 16:57:18 -0400 (Tue, 12 Apr 2022)
EndedAt: 2022-04-12 16:58:51 -0400 (Tue, 12 Apr 2022)
EllapsedTime: 92.9 seconds
RetCode: 0
Status:   WARNINGS  
CheckDir: predictionet.Rcheck
Warnings: 1

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:predictionet.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings predictionet_1.40.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.14-bioc/meat/predictionet.Rcheck’
* using R version 4.1.3 (2022-03-10)
* using platform: x86_64-apple-darwin17.0 (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘predictionet/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘predictionet’ version ‘1.40.0’
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... NOTE
Found the following hidden files and directories:
  .BBSoptions
These were most likely included in error. See section ‘Package
structure’ in the ‘Writing R Extensions’ manual.
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘predictionet’ can be installed ... WARNING
Found the following significant warnings:
  Warning: Package 'predictionet' is deprecated and will be removed from
See ‘/Users/biocbuild/bbs-3.14-bioc/meat/predictionet.Rcheck/00install.out’ for details.
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... NOTE
Packages in Depends field not imported from:
  ‘catnet’ ‘igraph’
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... NOTE
.build.regression.regrnet: no visible global function definition for
  ‘formula’
.build.regression.regrnet: no visible global function definition for
  ‘lm’
.build2.mim: no visible global function definition for ‘cor’
.exportGML: no visible global function definition for ‘vcount’
.exportGML: no visible global function definition for ‘ecount’
.get.ii4triplets.gaussian: no visible global function definition for
  ‘cor’
.pred.onegene.bayesnet.fs : <anonymous>: no visible global function
  definition for ‘quantile’
.regrnet2matrixtopo: no visible global function definition for
  ‘coefficients’
adj.get.hops: no visible global function definition for ‘as’
netinf: no visible global function definition for ‘quantile’
netinf : <anonymous>: no visible global function definition for
  ‘quantile’
netinf: no visible global function definition for ‘cnMatParents’
netinf.cv : <anonymous>: no visible global function definition for
  ‘quantile’
netinf2gml: no visible global function definition for ‘sessionInfo’
netinf2gml: no visible global function definition for ‘ecount’
netinf2gml: no visible global function definition for ‘vcount’
pred.score : <anonymous>: no visible global function definition for
  ‘quantile’
pred.score : myfoo: no visible global function definition for
  ‘complete.cases’
predictionet.stability.cv : <anonymous>: no visible global function
  definition for ‘quantile’
Undefined global functions or variables:
  as cnMatParents coefficients complete.cases cor ecount formula lm
  quantile sessionInfo vcount
Consider adding
  importFrom("methods", "as")
  importFrom("stats", "coefficients", "complete.cases", "cor", "formula",
             "lm", "quantile")
  importFrom("utils", "sessionInfo")
to your NAMESPACE file (and ensure that your DESCRIPTION Imports field
contains 'methods').
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking LazyData ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking compiled code ... NOTE
Note: information on .o files is not available
File ‘/Library/Frameworks/R.framework/Versions/4.1/Resources/library/predictionet/libs/predictionet.so’:
  Found ‘_rand’, possibly from ‘rand’ (C)
  Found ‘_srand’, possibly from ‘srand’ (C)

Compiled code should not call entry points which might terminate R nor
write to stdout/stderr instead of to the console, nor use Fortran I/O
nor system RNGs. The detected symbols are linked into the code but
might come from libraries and not actually be called.

See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
* checking sizes of PDF files under ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 1 WARNING, 4 NOTEs
See
  ‘/Users/biocbuild/bbs-3.14-bioc/meat/predictionet.Rcheck/00check.log’
for details.



Installation output

predictionet.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL predictionet
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.1/Resources/library’
* installing *source* package ‘predictionet’ ...
** using staged installation
** libs
clang++ -mmacosx-version-min=10.13 -std=gnu++14 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/usr/local/include   -fPIC  -Wall -g -O2  -c foo_mrmr.cpp -o foo_mrmr.o
clang++ -mmacosx-version-min=10.13 -std=gnu++14 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/usr/local/include   -fPIC  -Wall -g -O2  -c mrnet_adapted.cpp -o mrnet_adapted.o
clang++ -mmacosx-version-min=10.13 -std=gnu++14 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/usr/local/include   -fPIC  -Wall -g -O2  -c mrnet_adapted2.cpp -o mrnet_adapted2.o
clang++ -mmacosx-version-min=10.13 -std=gnu++14 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/usr/local/include   -fPIC  -Wall -g -O2  -c mrnet_ensemble_standalone.cpp -o mrnet_ensemble_standalone.o
mrnet_ensemble_standalone.cpp:111:7: warning: unused variable 'found' [-Wunused-variable]
        bool found=false;
             ^
mrnet_ensemble_standalone.cpp:283:6: warning: unused variable 'rootdepth' [-Wunused-variable]
        int rootdepth=tr.depth(it);
            ^
mrnet_ensemble_standalone.cpp:304:6: warning: unused variable 'rootdepth' [-Wunused-variable]
        int rootdepth=tr.depth(it);
            ^
mrnet_ensemble_standalone.cpp:377:16: warning: unused variable 'boot_val' [-Wunused-variable]
        double *mim, *boot_val;
                      ^
mrnet_ensemble_standalone.cpp:507:7: warning: unused variable 'cnt_back' [-Wunused-variable]
                int cnt_back=cnt2;
                    ^
mrnet_ensemble_standalone.cpp:442:7: warning: unused variable 'nsub' [-Wunused-variable]
        int  nsub, *prev_sel,nsamples_boot=nsamples,*to_remove;
             ^
mrnet_ensemble_standalone.cpp:560:9: warning: unused variable 'max_val' [-Wunused-variable]
        double max_val=-1000;
               ^
mrnet_ensemble_standalone.cpp:586:48: warning: unused variable 'nprev_sel' [-Wunused-variable]
        int  *nsub, *prev_sel,nsamples_boot=nsamples, nprev_sel=0; 
                                                      ^
mrnet_ensemble_standalone.cpp:777:13: warning: unused variable 'cnt2' [-Wunused-variable]
                int cnt=1,cnt2=0;
                          ^
mrnet_ensemble_standalone.cpp:780:7: warning: unused variable 'rootdepth' [-Wunused-variable]
                int rootdepth=res_tree.depth(it_final);
                    ^
mrnet_ensemble_standalone.cpp:794:7: warning: unused variable 'ind' [-Wunused-variable]
                int ind=0;
                    ^
mrnet_ensemble_standalone.cpp:723:6: warning: unused variable 'vec_tmp' [-Wunused-variable]
        int vec_tmp;
            ^
mrnet_ensemble_standalone.cpp:722:39: warning: unused variable 'res_all2' [-Wunused-variable]
        int *predn, *rep_boot,*res,*res_all,*res_all2,*namat;
                                             ^
mrnet_ensemble_standalone.cpp:722:30: warning: unused variable 'res_all' [-Wunused-variable]
        int *predn, *rep_boot,*res,*res_all,*res_all2,*namat;
                                    ^
mrnet_ensemble_standalone.cpp:800:16: warning: variable 'res_old' is uninitialized when used here [-Wuninitialized]
                                res_all[k]=res_old[k];
                                           ^~~~~~~
mrnet_ensemble_standalone.cpp:793:25: note: initialize the variable 'res_old' to silence this warning
                int *res_all, *res_old;
                                      ^
                                       = nullptr
mrnet_ensemble_standalone.cpp:849:21: warning: unused variable 'vec_sort' [-Wunused-variable]
        double *vec_mean, *vec_sort, *vec_sd,  *vec_local_max_mean, *vec_local_max_sd,tmp_val_max, *mrmr_vec_sort,*vec_sol_local_mrmr;
                           ^
mrnet_ensemble_standalone.cpp:848:66: warning: unused variable 'prev_sel_tmp' [-Wunused-variable]
        int  *nsub, *prev_sel,nsamples_boot=nsamples, tmp_val_max_ind, *prev_sel_tmp,*vec_sol_local,ndelete; 
                                                                        ^
mrnet_ensemble_standalone.cpp:848:48: warning: unused variable 'tmp_val_max_ind' [-Wunused-variable]
        int  *nsub, *prev_sel,nsamples_boot=nsamples, tmp_val_max_ind, *prev_sel_tmp,*vec_sol_local,ndelete; 
                                                      ^
mrnet_ensemble_standalone.cpp:1046:13: warning: unused variable 'cnt2' [-Wunused-variable]
                int cnt=1,cnt2=0;
                          ^
mrnet_ensemble_standalone.cpp:1049:7: warning: unused variable 'rootdepth' [-Wunused-variable]
                int rootdepth=res_tree.depth(it_final);
                    ^
mrnet_ensemble_standalone.cpp:1063:7: warning: unused variable 'ind' [-Wunused-variable]
                int ind=0;
                    ^
mrnet_ensemble_standalone.cpp:993:6: warning: unused variable 'vec_tmp' [-Wunused-variable]
        int vec_tmp;
            ^
mrnet_ensemble_standalone.cpp:992:30: warning: unused variable 'res_all' [-Wunused-variable]
        int *predn, *rep_boot,*res,*res_all,*res_all2, *namat;
                                    ^
mrnet_ensemble_standalone.cpp:992:39: warning: unused variable 'res_all2' [-Wunused-variable]
        int *predn, *rep_boot,*res,*res_all,*res_all2, *namat;
                                             ^
mrnet_ensemble_standalone.cpp:1067:16: warning: variable 'res_old' is uninitialized when used here [-Wuninitialized]
                                res_all[k]=res_old[k];
                                           ^~~~~~~
mrnet_ensemble_standalone.cpp:1062:25: note: initialize the variable 'res_old' to silence this warning
                int *res_all, *res_old;
                                      ^
                                       = nullptr
25 warnings generated.
clang++ -mmacosx-version-min=10.13 -std=gnu++14 -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -single_module -multiply_defined suppress -L/Library/Frameworks/R.framework/Resources/lib -L/usr/local/lib -o predictionet.so foo_mrmr.o mrnet_adapted.o mrnet_adapted2.o mrnet_ensemble_standalone.o -F/Library/Frameworks/R.framework/.. -framework R -Wl,-framework -Wl,CoreFoundation
installing to /Library/Frameworks/R.framework/Versions/4.1/Resources/library/00LOCK-predictionet/00new/predictionet/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
Warning: Package 'predictionet' is deprecated and will be removed from
  Bioconductor version 3.15
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
Warning: Package 'predictionet' is deprecated and will be removed from
  Bioconductor version 3.15
** testing if installed package keeps a record of temporary installation path
* DONE (predictionet)

Tests output


Example timings

predictionet.Rcheck/predictionet-Ex.timings

nameusersystemelapsed
adj.get.hops0.0210.0030.024
adj.remove.cycles0.0020.0040.005
data.discretize0.2130.0200.233
expO.colon.ras0.0020.0010.003
jorissen.colon.ras0.0010.0010.003
net2pred0.0790.0100.089
netinf0.6310.0270.660
netinf.cv0.3880.0110.399
netinf.predict0.0880.0060.095
netinf2gml0.3230.0060.330
pred.score0.0090.0000.009
predictionet.press.statistic0.3270.0080.334
predictionet.stability.cv0.3620.0080.371