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This page was generated on 2026-01-16 11:12 -0500 (Fri, 16 Jan 2026).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 24.04.3 LTS)x86_64R Under development (unstable) (2025-12-22 r89219) -- "Unsuffered Consequences" 4849
kjohnson3macOS 13.7.7 Venturaarm64R Under development (unstable) (2025-11-04 r88984) -- "Unsuffered Consequences" 4628
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

Package 1415/2343HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
multiWGCNA 1.9.3  (landing page)
Dario Tommasini
Snapshot Date: 2026-01-15 13:40 -0500 (Thu, 15 Jan 2026)
git_url: https://git.bioconductor.org/packages/multiWGCNA
git_branch: devel
git_last_commit: 42c77b5
git_last_commit_date: 2026-01-07 19:41:10 -0500 (Wed, 07 Jan 2026)
nebbiolo1Linux (Ubuntu 24.04.3 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
kjohnson3macOS 13.7.7 Ventura / arm64  OK    OK    OK    OK  UNNEEDED, same version is already published


CHECK results for multiWGCNA on kjohnson3

To the developers/maintainers of the multiWGCNA package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/multiWGCNA.git to reflect on this report. See Troubleshooting Build Report for more information.
- Use the following Renviron settings to reproduce errors and warnings.
- If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information.

raw results


Summary

Package: multiWGCNA
Version: 1.9.3
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:multiWGCNA.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings multiWGCNA_1.9.3.tar.gz
StartedAt: 2026-01-15 21:24:51 -0500 (Thu, 15 Jan 2026)
EndedAt: 2026-01-15 21:29:33 -0500 (Thu, 15 Jan 2026)
EllapsedTime: 281.9 seconds
RetCode: 0
Status:   OK  
CheckDir: multiWGCNA.Rcheck
Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:multiWGCNA.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings multiWGCNA_1.9.3.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.23-bioc/meat/multiWGCNA.Rcheck’
* using R Under development (unstable) (2025-11-04 r88984)
* using platform: aarch64-apple-darwin20
* R was compiled by
    Apple clang version 16.0.0 (clang-1600.0.26.6)
    GNU Fortran (GCC) 14.2.0
* running under: macOS Ventura 13.7.8
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘multiWGCNA/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘multiWGCNA’ version ‘1.9.3’
* 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 ‘multiWGCNA’ 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 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
BuildTOMFlowDF: no visible global function definition for ‘as.dist’
BuildTOMFlowDF: no visible binding for global variable ‘Gene’
BuildTOMFlowDF: no visible binding for global variable ‘Network’
BuildTOMFlowDF: no visible binding for global variable ‘Label’
BuildTOMFlowDF: no visible binding for global variable ‘Order’
BuildTOMFlowDF: no visible binding for global variable ‘Color’
GetSignificantOverlap: no visible binding for global variable ‘p.adj’
GetSignificantOverlap: no visible binding for global variable ‘overlap’
ModuleFlowPlot : <anonymous>: no visible binding for global variable
  ‘mod1’
ModuleFlowPlot : <anonymous>: no visible binding for global variable
  ‘mod2’
ModuleFlowPlot: no visible binding for global variable ‘module’
ModuleFlowPlot: no visible binding for global variable ‘p.adj’
ModuleFlowPlot: no visible binding for global variable ‘overlap’
ModuleFlowPlot: no visible binding for global variable ‘n.genes’
ModuleFlowPlot: no visible binding for global variable ‘color’
ModuleFlowPlot: no visible binding for global variable ‘name_clean’
ModuleFlowPlot: no visible binding for global variable ‘x’
ModuleFlowPlot: no visible binding for global variable ‘y’
ModuleFlowPlot: no visible binding for global variable ‘text’
ModuleFlowPlot2Way: no visible binding for global variable ‘overlap’
ModuleFlowPlot2Way: no visible binding for global variable ‘mod1’
ModuleFlowPlot2Way: no visible binding for global variable ‘mod2’
ModuleFlowPlot2Way: no visible binding for global variable ‘p.adj’
ModuleFlowPlot2Way: no visible binding for global variable ‘stratum’
PlotMultiNodesTOMflow: no visible binding for global variable ‘module’
PlotMultiNodesTOMflow: no visible binding for global variable ‘Count’
PlotMultiNodesTOMflow: no visible binding for global variable ‘stratum’
TOMFlowPlot: no visible global function definition for ‘as.dist’
TOMFlowPlot: no visible binding for global variable ‘module’
TOMFlowPlot: no visible binding for global variable ‘Count’
TOMFlowPlot: no visible binding for global variable ‘one.gene’
TOMFlowPlot: no visible binding for global variable ‘two.gene’
TOMFlowPlot: no visible binding for global variable ‘stratum’
bidirectionalBestMatches: no visible binding for global variable ‘mod1’
bidirectionalBestMatches: no visible binding for global variable ‘mod2’
bidirectionalBestMatches: no visible binding for global variable
  ‘overlap’
coexpressionLineGraph: no visible binding for global variable ‘Var1’
coexpressionLineGraph: no visible binding for global variable ‘value’
coexpressionLineGraph: no visible binding for global variable ‘Var2’
computeOverlapsFromWGCNA: no visible binding for global variable ‘mod1’
computeOverlapsFromWGCNA: no visible binding for global variable ‘mod2’
continuousFlowPlot: no visible global function definition for ‘ulist’
continuousFlowPlot: no visible binding for global variable
  ‘uniqueSortedData’
continuousFlowPlot: no visible binding for global variable ‘stratum’
continuousFlowPlot: no visible global function definition for ‘error’
correlationComparisonBoxplot: no visible binding for global variable
  ‘Status’
correlationComparisonBoxplot: no visible binding for global variable
  ‘Correlation’
correlationComparisonHeatmaps: no visible binding for global variable
  ‘Var1’
correlationComparisonHeatmaps: no visible binding for global variable
  ‘Var2’
correlationComparisonHeatmaps: no visible binding for global variable
  ‘value’
diffCoexpression: no visible binding for global variable ‘p.adj’
diffModuleExpression: no visible binding for global variable ‘Sample’
expressionHeatmap: no visible binding for global variable ‘Sample’
expressionHeatmap: no visible binding for global variable ‘Gene’
expressionHeatmap: no visible binding for global variable ‘Zscore’
findOutlierModules: no visible global function definition for
  ‘zScoreMatrix’
getPreservation: no visible binding for global variable ‘name2’
makeTraitTable2: no visible global function definition for
  ‘model.matrix’
moduleComparisonPlot: no visible binding for global variable ‘overlap’
moduleComparisonPlot: no visible binding for global variable ‘mod1’
moduleComparisonPlot: no visible binding for global variable ‘mod2’
moduleComparisonPlot: no visible binding for global variable ‘p.adj’
moduleComparisonPlot: no visible binding for global variable ‘stratum’
moduleExpressionPlot: no visible binding for global variable ‘Sample’
moduleExpressionPlot: no visible binding for global variable
  ‘Expression’
moduleToModuleHeatmap: no visible binding for global variable ‘mod1’
moduleToModuleHeatmap: no visible binding for global variable ‘mod2’
moduleToModuleHeatmap: no visible binding for global variable ‘p.adj’
moduleToModuleHeatmap: no visible binding for global variable ‘overlap’
preservationComparisonPlot: no visible binding for global variable
  ‘log10Pvalue’
preservationComparisonPlot: no visible binding for global variable
  ‘Zsum’
preservationComparisonPlot: no visible binding for global variable
  ‘trait’
preservationComparisonPlot: no visible binding for global variable
  ‘Module’
topNGenes: no visible binding for global variable ‘kWithin’
Undefined global functions or variables:
  Color Correlation Count Expression Gene Label Module Network Order
  Sample Status Var1 Var2 Zscore Zsum as.dist color error kWithin
  log10Pvalue mod1 mod2 model.matrix module n.genes name2 name_clean
  one.gene overlap p.adj stratum text trait two.gene ulist
  uniqueSortedData value x y zScoreMatrix
Consider adding
  importFrom("graphics", "text")
  importFrom("stats", "as.dist", "model.matrix")
to your NAMESPACE file.
* 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 files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                             user system elapsed
preservationComparisonPlot 27.874  5.220  35.144
preservationComparisons    25.313  5.835  33.000
constructNetworks          19.415  0.134  21.034
moduleComparisonPlot        4.724  0.122   5.288
ModuleFlowPlot2Way          4.595  0.119   5.228
runDME                      4.175  0.411   5.284
* 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: 1 NOTE
See
  ‘/Users/biocbuild/bbs-3.23-bioc/meat/multiWGCNA.Rcheck/00check.log’
for details.


Installation output

multiWGCNA.Rcheck/00install.out

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


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.6-arm64/Resources/library’
* installing *source* package ‘multiWGCNA’ ...
** this is package ‘multiWGCNA’ version ‘1.9.3’
** using staged installation
** 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
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (multiWGCNA)

Tests output

multiWGCNA.Rcheck/tests/testthat.Rout


R Under development (unstable) (2025-11-04 r88984) -- "Unsuffered Consequences"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: aarch64-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.

> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
> 
> library(testthat)
> library(multiWGCNA)
Loading required package: ggalluvial
Loading required package: ggplot2

> 
> test_check("multiWGCNA")
Loading required package: BiocGenerics
Loading required package: generics

Attaching package: 'generics'

The following objects are masked from 'package:base':

    as.difftime, as.factor, as.ordered, intersect, is.element, setdiff,
    setequal, union


Attaching package: 'BiocGenerics'

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, aperm, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, is.unsorted, lapply,
    mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int,
    rank, rbind, rownames, sapply, saveRDS, table, tapply, unique,
    unsplit, which.max, which.min

Loading required package: AnnotationHub
Loading required package: BiocFileCache
Loading required package: dbplyr
multiWGCNAdata not installed.
  Full functionality, documentation, and loading of data might not be possible without installing
loading from cache
require("SummarizedExperiment")
### Working on combined network ###
 Flagging genes and samples with too many missing values...
  ..step 1
 Calculating module eigengenes block-wise from all genes
   Flagging genes and samples with too many missing values...
    ..step 1
 ..Working on block 1 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
     ..removing 163 genes from module 1 because their KME is too low.
     ..removing 126 genes from module 2 because their KME is too low.
     ..removing 59 genes from module 3 because their KME is too low.
     ..removing 18 genes from module 4 because their KME is too low.
     ..removing 28 genes from module 5 because their KME is too low.
     ..removing 24 genes from module 6 because their KME is too low.
     ..removing 9 genes from module 7 because their KME is too low.
 ..merging modules that are too close..
     mergeCloseModules: Merging modules whose distance is less than 0.1
       Calculating new MEs...
 softConnectivity: FYI: connecitivty of genes with less than 20 valid samples will be returned as NA.
 ..calculating connectivities.. 
### Working on autism network ###
 Flagging genes and samples with too many missing values...
  ..step 1
 Calculating module eigengenes block-wise from all genes
   Flagging genes and samples with too many missing values...
    ..step 1
 ..Working on block 1 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
     ..removing 139 genes from module 1 because their KME is too low.
     ..removing 82 genes from module 2 because their KME is too low.
     ..removing 95 genes from module 3 because their KME is too low.
     ..removing 37 genes from module 4 because their KME is too low.
     ..removing 35 genes from module 5 because their KME is too low.
     ..removing 36 genes from module 6 because their KME is too low.
     ..removing 27 genes from module 7 because their KME is too low.
 ..merging modules that are too close..
     mergeCloseModules: Merging modules whose distance is less than 0.1
       Calculating new MEs...
 softConnectivity: FYI: connecitivty of genes with less than 10 valid samples will be returned as NA.
 ..calculating connectivities.. 
### Working on FC network ###
 Flagging genes and samples with too many missing values...
  ..step 1
 Calculating module eigengenes block-wise from all genes
   Flagging genes and samples with too many missing values...
    ..step 1
 ..Working on block 1 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
     ..removing 164 genes from module 1 because their KME is too low.
     ..removing 138 genes from module 2 because their KME is too low.
     ..removing 86 genes from module 3 because their KME is too low.
     ..removing 33 genes from module 4 because their KME is too low.
     ..removing 35 genes from module 5 because their KME is too low.
     ..removing 34 genes from module 6 because their KME is too low.
     ..removing 19 genes from module 7 because their KME is too low.
 ..merging modules that are too close..
     mergeCloseModules: Merging modules whose distance is less than 0.1
       Calculating new MEs...
 softConnectivity: FYI: connecitivty of genes with less than 11 valid samples will be returned as NA.
 ..calculating connectivities.. 
### Working on combined network ###
 Flagging genes and samples with too many missing values...
  ..step 1
 Calculating module eigengenes block-wise from all genes
   Flagging genes and samples with too many missing values...
    ..step 1
 ..Working on block 1 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
     ..removing 163 genes from module 1 because their KME is too low.
     ..removing 126 genes from module 2 because their KME is too low.
     ..removing 59 genes from module 3 because their KME is too low.
     ..removing 18 genes from module 4 because their KME is too low.
     ..removing 28 genes from module 5 because their KME is too low.
     ..removing 24 genes from module 6 because their KME is too low.
     ..removing 9 genes from module 7 because their KME is too low.
 ..merging modules that are too close..
     mergeCloseModules: Merging modules whose distance is less than 0.1
       Calculating new MEs...
 softConnectivity: FYI: connecitivty of genes with less than 20 valid samples will be returned as NA.
 ..calculating connectivities.. 
### Working on autism network ###
 Flagging genes and samples with too many missing values...
  ..step 1
 Calculating module eigengenes block-wise from all genes
   Flagging genes and samples with too many missing values...
    ..step 1
 ..Working on block 1 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
     ..removing 139 genes from module 1 because their KME is too low.
     ..removing 82 genes from module 2 because their KME is too low.
     ..removing 95 genes from module 3 because their KME is too low.
     ..removing 37 genes from module 4 because their KME is too low.
     ..removing 35 genes from module 5 because their KME is too low.
     ..removing 36 genes from module 6 because their KME is too low.
     ..removing 27 genes from module 7 because their KME is too low.
 ..merging modules that are too close..
     mergeCloseModules: Merging modules whose distance is less than 0.1
       Calculating new MEs...
 softConnectivity: FYI: connecitivty of genes with less than 10 valid samples will be returned as NA.
 ..calculating connectivities.. 
### Working on FC network ###
 Flagging genes and samples with too many missing values...
  ..step 1
 Calculating module eigengenes block-wise from all genes
   Flagging genes and samples with too many missing values...
    ..step 1
 ..Working on block 1 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
     ..removing 164 genes from module 1 because their KME is too low.
     ..removing 138 genes from module 2 because their KME is too low.
     ..removing 86 genes from module 3 because their KME is too low.
     ..removing 33 genes from module 4 because their KME is too low.
     ..removing 35 genes from module 5 because their KME is too low.
     ..removing 34 genes from module 6 because their KME is too low.
     ..removing 19 genes from module 7 because their KME is too low.
 ..merging modules that are too close..
     mergeCloseModules: Merging modules whose distance is less than 0.1
       Calculating new MEs...
 softConnectivity: FYI: connecitivty of genes with less than 11 valid samples will be returned as NA.
 ..calculating connectivities.. 
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 2 ]
> 
> proc.time()
   user  system elapsed 
 42.136   0.476  44.964 

Example timings

multiWGCNA.Rcheck/multiWGCNA-Ex.timings

nameusersystemelapsed
GetDatExpr1.7530.1132.377
ModuleFlowPlot3.3860.2164.006
ModuleFlowPlot2Way4.5950.1195.228
PreservationPermutationTest000
PreservationScoreDistribution0.0090.0010.010
bidirectionalBestMatches1.4860.0741.796
cleanDatExpr0.8720.3011.358
coexpressionLineGraph1.3360.0841.563
computeOverlapsFromWGCNA1.1880.1421.572
constructNetworks19.415 0.13421.034
diffCoexpression000
diffModuleExpression1.9820.1352.477
drawMultiWGCNAnetwork3.2100.2953.943
getModule1.0890.0681.370
iterate3.4131.1044.885
makeTraitTable0.0030.0000.003
makeTraitTable20.0020.0000.004
moduleComparisonPlot4.7240.1225.288
moduleExpressionPlot1.6900.0911.998
moduleToModuleHeatmap1.6990.0882.059
name1.0420.0701.312
overlapComparisons2.7950.2033.266
preservationComparisonPlot27.874 5.22035.144
preservationComparisons25.313 5.83533.000
runDME4.1750.4115.284
topNGenes0.9920.0691.234