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### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:mistyR.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings mistyR_1.17.0.tar.gz
###
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* using log directory ‘/Users/biocbuild/bbs-3.22-bioc/meat/mistyR.Rcheck’
* using R version 4.5.0 Patched (2025-04-21 r88169)
* using platform: x86_64-apple-darwin20
* R was compiled by
    Apple clang version 14.0.0 (clang-1400.0.29.202)
    GNU Fortran (GCC) 14.2.0
* running under: macOS Monterey 12.7.6
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘mistyR/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘mistyR’ version ‘1.17.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... INFO
Imports includes 21 non-default packages.
Importing from so many packages makes the package vulnerable to any of
them becoming unavailable.  Move as many as possible to Suggests and
use conditionally.
* 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 code 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 whether startup messages can be suppressed ... 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
aggregate_results: no visible binding for global variable ‘measure’
aggregate_results: no visible binding for global variable ‘target’
aggregate_results: no visible binding for global variable ‘value’
aggregate_results: no visible binding for global variable ‘sd’
aggregate_results: no visible binding for global variable ‘view’
aggregate_results: no visible binding for global variable ‘.PT’
aggregate_results: no visible binding for global variable ‘Importance’
aggregate_results_subset: no visible binding for global variable ‘view’
aggregate_results_subset: no visible binding for global variable ‘.PT’
aggregate_results_subset: no visible binding for global variable
  ‘Importance’
bagged_mars_model: no visible binding for global variable ‘index’
bagged_mars_model: no visible binding for global variable ‘prediction’
collect_results : <anonymous>: no visible binding for global variable
  ‘intra.RMSE’
collect_results : <anonymous>: no visible binding for global variable
  ‘multi.RMSE’
collect_results : <anonymous>: no visible binding for global variable
  ‘multi.R2’
collect_results : <anonymous>: no visible binding for global variable
  ‘intra.R2’
collect_results: no visible binding for global variable ‘target’
collect_results : <anonymous>: no visible binding for global variable
  ‘target’
collect_results : <anonymous>: no visible binding for global variable
  ‘view’
collect_results : <anonymous> : <anonymous>: no visible binding for
  global variable ‘value’
collect_results : <anonymous> : <anonymous>: no visible binding for
  global variable ‘Predictor’
collect_results : <anonymous> : <anonymous>: no visible binding for
  global variable ‘Importance’
extract_signature: no visible binding for global variable ‘measure’
extract_signature: no visible binding for global variable ‘target’
extract_signature: no visible binding for global variable ‘ts’
extract_signature: no visible binding for global variable ‘view’
extract_signature: no visible binding for global variable ‘value’
extract_signature : <anonymous>: no visible binding for global variable
  ‘Importance’
extract_signature : <anonymous>: no visible binding for global variable
  ‘Target’
extract_signature : <anonymous>: no visible binding for global variable
  ‘ts’
extract_signature : <anonymous>: no visible binding for global variable
  ‘Predictor’
gradient_boosting_model: no visible binding for global variable ‘index’
linear_model: no visible binding for global variable ‘index’
mars_model: no visible binding for global variable ‘index’
mlp_model: no visible binding for global variable ‘index’
plot_contrast_heatmap: no visible binding for global variable ‘view’
plot_contrast_heatmap: no visible binding for global variable ‘measure’
plot_contrast_heatmap: no visible binding for global variable ‘target’
plot_contrast_heatmap: no visible binding for global variable ‘Target’
plot_contrast_heatmap: no visible binding for global variable
  ‘nsamples’
plot_contrast_heatmap: no visible binding for global variable
  ‘Predictor’
plot_contrast_heatmap: no visible binding for global variable
  ‘Importance’
plot_contrast_results: no visible binding for global variable ‘view’
plot_contrast_results : <anonymous>: no visible binding for global
  variable ‘view’
plot_contrast_results : <anonymous>: no visible binding for global
  variable ‘Predictor’
plot_contrast_results : <anonymous>: no visible binding for global
  variable ‘Target’
plot_contrast_results: no visible binding for global variable ‘measure’
plot_contrast_results: no visible binding for global variable ‘target’
plot_contrast_results : <anonymous>: no visible binding for global
  variable ‘nsamples’
plot_contrast_results : <anonymous>: no visible binding for global
  variable ‘Importance’
plot_improvement_stats: no visible binding for global variable ‘target’
plot_improvement_stats: no visible binding for global variable ‘sd’
plot_interaction_communities: no visible binding for global variable
  ‘nsamples’
plot_interaction_communities: no visible binding for global variable
  ‘Predictor’
plot_interaction_heatmap: no visible binding for global variable
  ‘measure’
plot_interaction_heatmap: no visible binding for global variable
  ‘target’
plot_interaction_heatmap: no visible binding for global variable
  ‘Target’
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_view_contributions: no visible binding for global variable
  ‘measure’
plot_view_contributions: no visible binding for global variable
  ‘target’
plot_view_contributions: no visible binding for global variable
  ‘fraction’
plot_view_contributions: no visible binding for global variable ‘view’
run_misty : <anonymous>: no visible binding for global variable ‘p’
run_misty : <anonymous>: no visible binding for global variable
  ‘intra.RMSE’
run_misty : <anonymous>: no visible binding for global variable
  ‘multi.RMSE’
run_misty : <anonymous>: no visible binding for global variable
  ‘intra.R2’
run_misty : <anonymous>: no visible binding for global variable
  ‘multi.R2’
svm_model: no visible binding for global variable ‘index’
Undefined global functions or variables:
  .PT Importance Predictor Target fraction index intra.R2 intra.RMSE
  measure multi.R2 multi.RMSE nsamples p prediction sd target total ts
  value view
Consider adding
  importFrom("stats", "sd", "ts")
to your NAMESPACE file.
* checking Rd files ... NOTE
checkRd: (-1) collect_results.Rd:32: Lost braces; missing escapes or markup?
    32 |             for all performance measures for each {target} over all samples.}
       |                                                   ^
* 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 files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                          user system elapsed
collect_results        157.264 20.846 179.144
reexports               51.542  8.293  60.184
run_misty               52.324  7.253  59.832
remove_views            29.269  6.331  35.781
add_paraview            25.508  3.813  29.591
add_juxtaview            6.747  0.483   7.276
plot_improvement_stats   6.659  0.397   6.865
create_view              6.228  0.050   6.308
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 2 NOTEs
See
  ‘/Users/biocbuild/bbs-3.22-bioc/meat/mistyR.Rcheck/00check.log’
for details.

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###
### Running command:
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###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL mistyR
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* installing to library ‘/Library/Frameworks/R.framework/Versions/4.5-x86_64/Resources/library’
* installing *source* package ‘mistyR’ ...
** this is package ‘mistyR’ version ‘1.17.0’
** 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 4.5.0 Patched (2025-04-21 r88169) -- "How About a Twenty-Six"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin20

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

Training models

Training models

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Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Training models

Training models

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Generating paraview

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Generating paraview

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Collecting improvements

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Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

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Collecting importances

Aggregating

Generating paraview

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Generating paraview

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Collecting improvements

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Collecting importances

Aggregating

Generating paraview

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Collecting contributions

Collecting importances

Aggregating

Generating paraview

Generating paraview

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Generating paraview

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Collecting improvements

Collecting contributions

Collecting importances

Aggregating
Aggregating subset

Generating paraview

Training models

Generating paraview

Training models

Generating paraview

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Computing triangulation

Generating juxtaview

Generating paraview

Generating paraview using 20 nearest neighbors per unit

Approximating RBF matrix using the Nystrom method

Computing triangulation

Generating juxtaview

Generating paraview

Computing triangulation

Generating juxtaview

Generating paraview

Computing triangulation

Generating paraview

Generating paraview

Generating paraview using 2 nearest neighbors per unit

Generating paraview

Generating paraview
[ FAIL 0 | WARN 4 | SKIP 0 | PASS 173 ]

[ FAIL 0 | WARN 4 | SKIP 0 | PASS 173 ]
> 
> proc.time()
   user  system elapsed 
400.638   5.823 407.777