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### Running command:
###
###   /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD check --install=check:mistyR.install-out.txt --library=/Library/Frameworks/R.framework/Versions/Current/Resources/library --no-vignettes --timings mistyR_1.0.3.tar.gz
###
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* using log directory ‘/Users/biocbuild/bbs-3.13-bioc/meat/mistyR.Rcheck’
* using R version 4.1.1 (2021-08-10)
* using platform: x86_64-apple-darwin17.0 (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘mistyR/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘mistyR’ version ‘1.0.3’
* package encoding: UTF-8
* 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 ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘mistyR’ can be installed ... OK
* 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 ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... NOTE
plot_interaction_heatmap: no visible binding for global variable
  ‘Importance’
plot_interaction_heatmap: no visible binding for global variable
  ‘Predictor’
plot_interaction_heatmap: no visible binding for global variable
  ‘total’
plot_interaction_heatmap: no visible binding for global variable
  ‘Target’
plot_view_contributions: no visible binding for global variable
  ‘measure’
plot_view_contributions: no visible binding for global variable
  ‘target’
Undefined global functions or variables:
  Importance Predictor Target measure target total
* 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 data for ASCII and uncompressed saves ... OK
* checking sizes of PDF files under ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                          user system elapsed
collect_results        191.210 17.852 208.887
run_misty               63.332  6.103  69.394
reexports               62.188  5.868  68.013
remove_views            41.625  6.897  48.552
add_paraview            32.242  4.924  37.198
create_view             12.481  0.028  12.515
add_juxtaview            8.987  0.735   9.732
plot_improvement_stats   7.685  0.291   7.871
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 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 NOTE
See
  ‘/Users/biocbuild/bbs-3.13-bioc/meat/mistyR.Rcheck/00check.log’
for details.

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### Running command:
###
###   /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD INSTALL mistyR
###
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* installing to library ‘/Library/Frameworks/R.framework/Versions/4.1/Resources/library’
* installing *source* package ‘mistyR’ ...
** using staged installation
** R
** data
** 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
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (mistyR)

R version 4.1.1 (2021-08-10) -- "Kick Things"
Copyright (C) 2021 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin17.0 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(testthat)
> library(mistyR)
mistyR is able to run computationally intensive functions
  in parallel. Please consider specifying a future::plan(). For example by running
  future::plan(future::multisession) before calling mistyR functions.
> 
> test_check("mistyR")

Generating paraview

Attaching package: 'purrr'

The following object is masked from 'package:testthat':

    is_null

Training models
Training models
Training models
Training models
Training models
Training models
Training models
Training models
Training models
Training models
Training models
Training models

Generating paraview
Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Generating paraview
Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Generating paraview

Generating paraview
Training models

Generating paraview
Training models

Generating paraview
Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating
Aggregating subset

Computing triangulation

Generating juxtaview

Generating paraview

Generating paraview using 20 nearest neighbors per unit

Approximating RBF matrix using the Nystrom method

Generating paraview

Computing triangulation

Generating juxtaview

Generating paraview

Computing triangulation

Generating juxtaview

Generating paraview

Computing triangulation
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 65 ]
> 
> proc.time()
   user  system elapsed 
 39.215   1.697  40.626