Back to Multiple platform build/check report for BioC 3.22:   simplified   long
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This page was generated on 2025-08-22 12:05 -0400 (Fri, 22 Aug 2025).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo2Linux (Ubuntu 24.04.3 LTS)x86_644.5.1 (2025-06-13) -- "Great Square Root" 4821
lconwaymacOS 12.7.1 Montereyx86_644.5.1 (2025-06-13) -- "Great Square Root" 4599
kjohnson3macOS 13.7.7 Venturaarm644.5.1 Patched (2025-06-14 r88325) -- "Great Square Root" 4541
taishanLinux (openEuler 24.03 LTS)aarch644.5.0 (2025-04-11) -- "How About a Twenty-Six" 4539
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 1882/2319HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
scDblFinder 1.23.3  (landing page)
Pierre-Luc Germain
Snapshot Date: 2025-08-21 13:45 -0400 (Thu, 21 Aug 2025)
git_url: https://git.bioconductor.org/packages/scDblFinder
git_branch: devel
git_last_commit: c4e3ebc
git_last_commit_date: 2025-07-17 09:22:00 -0400 (Thu, 17 Jul 2025)
nebbiolo2Linux (Ubuntu 24.04.3 LTS) / x86_64  OK    OK    WARNINGS  UNNEEDED, same version is already published
lconwaymacOS 12.7.1 Monterey / x86_64  OK    OK    WARNINGS    OK  UNNEEDED, same version is already published
kjohnson3macOS 13.7.7 Ventura / arm64  OK    OK    WARNINGS    OK  UNNEEDED, same version is already published
taishanLinux (openEuler 24.03 LTS) / aarch64  OK    OK    WARNINGS  


CHECK results for scDblFinder on lconway

To the developers/maintainers of the scDblFinder package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/scDblFinder.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: scDblFinder
Version: 1.23.3
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:scDblFinder.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings scDblFinder_1.23.3.tar.gz
StartedAt: 2025-08-21 23:31:44 -0400 (Thu, 21 Aug 2025)
EndedAt: 2025-08-21 23:38:06 -0400 (Thu, 21 Aug 2025)
EllapsedTime: 381.7 seconds
RetCode: 0
Status:   WARNINGS  
CheckDir: scDblFinder.Rcheck
Warnings: 1

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:scDblFinder.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings scDblFinder_1.23.3.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.22-bioc/meat/scDblFinder.Rcheck’
* using R version 4.5.1 (2025-06-13)
* 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 ‘scDblFinder/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘scDblFinder’ version ‘1.23.3’
* 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 ‘scDblFinder’ 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 ... WARNING
Missing or unexported object: ‘xgboost::xgb.params’
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... NOTE
.xgbtrain: no visible global function definition for ‘packageVersion’
plotThresholds: no visible binding for global variable ‘threshold’
plotThresholds: no visible binding for global variable ‘value’
plotThresholds: no visible binding for global variable ‘variable’
Undefined global functions or variables:
  packageVersion threshold value variable
Consider adding
  importFrom("utils", "packageVersion")
to your NAMESPACE file.
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... NOTE
Found the following Rd file(s) with Rd \link{} targets missing package
anchors:
  computeDoubletDensity.Rd: SummarizedExperiment-class,
    SingleCellExperiment-class, sizeFactors, scran-gene-selection,
    BiocNeighborParam-class, queryNeighbors, BiocSingularParam-class,
    BiocParallelParam-class, librarySizeFactors
  findDoubletClusters.Rd: SummarizedExperiment-class,
    SingleCellExperiment-class, findMarkers, colLabels,
    scran-gene-selection, librarySizeFactors, DataFrame-class,
    SimpleList-class
  recoverDoublets.Rd: SummarizedExperiment-class,
    SingleCellExperiment-class, assays, reducedDims,
    BiocNeighborParam-class, BiocParallelParam-class, DataFrame-class,
    metadata, doubletCells, doubletCluster
Please provide package anchors for all Rd \link{} targets not in the
package itself and the base packages.
* 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 files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                     user system elapsed
clusterStickiness   5.835  0.101   5.959
doubletThresholding 5.370  0.088   5.496
scDblFinder         5.291  0.085   5.413
* 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 WARNING, 2 NOTEs
See
  ‘/Users/biocbuild/bbs-3.22-bioc/meat/scDblFinder.Rcheck/00check.log’
for details.


Installation output

scDblFinder.Rcheck/00install.out

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


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.5-x86_64/Resources/library’
* installing *source* package ‘scDblFinder’ ...
** this is package ‘scDblFinder’ version ‘1.23.3’
** using staged installation
** R
** 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 (scDblFinder)

Tests output

scDblFinder.Rcheck/tests/testthat.Rout


R version 4.5.1 (2025-06-13) -- "Great Square Root"
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(scDblFinder)
Loading required package: SingleCellExperiment
Loading required package: SummarizedExperiment
Loading required package: MatrixGenerics
Loading required package: matrixStats

Attaching package: 'MatrixGenerics'

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

    colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
    colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
    colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
    colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
    colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
    colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
    colWeightedMeans, colWeightedMedians, colWeightedSds,
    colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
    rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
    rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
    rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
    rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
    rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
    rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
    rowWeightedSds, rowWeightedVars

Loading required package: GenomicRanges
Loading required package: stats4
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: S4Vectors

Attaching package: 'S4Vectors'

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

    findMatches

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

    I, expand.grid, unname

Loading required package: IRanges
Loading required package: Seqinfo
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")'.


Attaching package: 'Biobase'

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

    rowMedians

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

    anyMissing, rowMedians

> test_check("scDblFinder")
[1]	train-logloss:0.440600 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.300078 
[3]	train-logloss:0.211246 
[4]	train-logloss:0.151689 
[5]	train-logloss:0.110405 
[6]	train-logloss:0.081185 
[7]	train-logloss:0.060214 
[8]	train-logloss:0.045017 
[9]	train-logloss:0.033927 
[10]	train-logloss:0.025788 
[11]	train-logloss:0.019788 
[12]	train-logloss:0.015345 
[13]	train-logloss:0.012039 
[14]	train-logloss:0.009565 
[15]	train-logloss:0.007703 
[16]	train-logloss:0.006290 
[17]	train-logloss:0.005208 
[18]	train-logloss:0.004371 
[1]	train-logloss:0.440600 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.300078 
[3]	train-logloss:0.211246 
[4]	train-logloss:0.151689 
[5]	train-logloss:0.110405 
[6]	train-logloss:0.081185 
[7]	train-logloss:0.060214 
[8]	train-logloss:0.045017 
[9]	train-logloss:0.033927 
[10]	train-logloss:0.025788 
[11]	train-logloss:0.019788 
[12]	train-logloss:0.015345 
[13]	train-logloss:0.012039 
[14]	train-logloss:0.009565 
[15]	train-logloss:0.007703 
[16]	train-logloss:0.006290 
[17]	train-logloss:0.005208 
[18]	train-logloss:0.004371 
[19]	train-logloss:0.003716 
[1]	train-logloss:0.440600 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.300078 
[3]	train-logloss:0.211246 
[4]	train-logloss:0.151689 
[5]	train-logloss:0.110405 
[6]	train-logloss:0.081185 
[7]	train-logloss:0.060214 
[8]	train-logloss:0.045017 
[9]	train-logloss:0.033927 
[10]	train-logloss:0.025788 
[11]	train-logloss:0.019788 
[12]	train-logloss:0.015345 
[13]	train-logloss:0.012039 
[14]	train-logloss:0.009565 
[15]	train-logloss:0.007703 
[16]	train-logloss:0.006290 
[1]	train-logloss:0.440583 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.300057 
[3]	train-logloss:0.211224 
[4]	train-logloss:0.151667 
[5]	train-logloss:0.110384 
[6]	train-logloss:0.081165 
[7]	train-logloss:0.060195 
[8]	train-logloss:0.044999 
[9]	train-logloss:0.033909 
[10]	train-logloss:0.025771 
[11]	train-logloss:0.019771 
[12]	train-logloss:0.015329 
[13]	train-logloss:0.012024 
[14]	train-logloss:0.009551 
[15]	train-logloss:0.007690 
[1]	train-logloss:0.440583 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.300057 
[3]	train-logloss:0.211224 
[4]	train-logloss:0.151667 
[5]	train-logloss:0.110384 
[6]	train-logloss:0.081165 
[7]	train-logloss:0.060195 
[8]	train-logloss:0.044999 
[9]	train-logloss:0.033909 
[10]	train-logloss:0.025771 
[11]	train-logloss:0.019771 
[12]	train-logloss:0.015329 
[13]	train-logloss:0.012024 
[14]	train-logloss:0.009551 
[1]	train-logloss:0.440583 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.300057 
[3]	train-logloss:0.211224 
[4]	train-logloss:0.151667 
[5]	train-logloss:0.110384 
[6]	train-logloss:0.081165 
[7]	train-logloss:0.060195 
[8]	train-logloss:0.044999 
[9]	train-logloss:0.033909 
[10]	train-logloss:0.025771 
[11]	train-logloss:0.019771 
[12]	train-logloss:0.015329 
[13]	train-logloss:0.012024 
[14]	train-logloss:0.009551 
[15]	train-logloss:0.007690 
[1]	train-logloss:0.448424 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.313515 
[3]	train-logloss:0.224858 
[4]	train-logloss:0.165738 
[5]	train-logloss:0.123576 
[6]	train-logloss:0.093937 
[7]	train-logloss:0.071699 
[8]	train-logloss:0.055727 
[9]	train-logloss:0.043772 
[10]	train-logloss:0.035020 
[11]	train-logloss:0.028320 
[12]	train-logloss:0.023524 
[13]	train-logloss:0.020126 
[14]	train-logloss:0.017364 
[15]	train-logloss:0.014836 
[16]	train-logloss:0.012950 
[17]	train-logloss:0.011613 
[18]	train-logloss:0.010513 
[19]	train-logloss:0.009541 
[1]	train-logloss:0.448029 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.313058 
[3]	train-logloss:0.226576 
[4]	train-logloss:0.165753 
[5]	train-logloss:0.123563 
[6]	train-logloss:0.093188 
[7]	train-logloss:0.071088 
[8]	train-logloss:0.055200 
[9]	train-logloss:0.043534 
[10]	train-logloss:0.034886 
[11]	train-logloss:0.028279 
[12]	train-logloss:0.022958 
[13]	train-logloss:0.019587 
[14]	train-logloss:0.016683 
[15]	train-logloss:0.014707 
[1]	train-logloss:0.448029 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.313058 
[3]	train-logloss:0.226576 
[4]	train-logloss:0.165753 
[5]	train-logloss:0.123563 
[6]	train-logloss:0.093188 
[7]	train-logloss:0.071088 
[8]	train-logloss:0.055200 
[9]	train-logloss:0.043534 
[10]	train-logloss:0.034886 
[11]	train-logloss:0.028279 
[12]	train-logloss:0.022958 
[13]	train-logloss:0.019587 
[14]	train-logloss:0.016683 
[15]	train-logloss:0.014707 
[1]	train-logloss:0.456708 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.321882 
[3]	train-logloss:0.238579 
[4]	train-logloss:0.180527 
[5]	train-logloss:0.138797 
[6]	train-logloss:0.108046 
[7]	train-logloss:0.085426 
[8]	train-logloss:0.069343 
[9]	train-logloss:0.057151 
[10]	train-logloss:0.048088 
[11]	train-logloss:0.041238 
[12]	train-logloss:0.034862 
[13]	train-logloss:0.029640 
[14]	train-logloss:0.025934 
[15]	train-logloss:0.023391 
[16]	train-logloss:0.020555 
[1]	train-logloss:0.455090 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.322106 
[3]	train-logloss:0.236116 
[4]	train-logloss:0.177993 
[5]	train-logloss:0.137824 
[6]	train-logloss:0.108607 
[7]	train-logloss:0.087099 
[8]	train-logloss:0.070190 
[9]	train-logloss:0.056935 
[10]	train-logloss:0.048093 
[11]	train-logloss:0.039916 
[1]	train-logloss:0.457297 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.325343 
[3]	train-logloss:0.240108 
[4]	train-logloss:0.181558 
[5]	train-logloss:0.140236 
[6]	train-logloss:0.109055 
[7]	train-logloss:0.087603 
[8]	train-logloss:0.070837 
[9]	train-logloss:0.058644 
[10]	train-logloss:0.049284 
[11]	train-logloss:0.040617 
[12]	train-logloss:0.034418 
[13]	train-logloss:0.029268 
[14]	train-logloss:0.025979 
[15]	train-logloss:0.023019 
[16]	train-logloss:0.020441 
[17]	train-logloss:0.018589 
[1]	train-logloss:0.439549 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.298794 
[3]	train-logloss:0.209914 
[4]	train-logloss:0.150369 
[5]	train-logloss:0.109118 
[6]	train-logloss:0.079937 
[7]	train-logloss:0.059007 
[8]	train-logloss:0.043851 
[9]	train-logloss:0.032800 
[10]	train-logloss:0.024702 
[11]	train-logloss:0.018742 
[12]	train-logloss:0.014341 
[13]	train-logloss:0.011080 
[14]	train-logloss:0.008653 
[15]	train-logloss:0.006840 
[16]	train-logloss:0.005477 
[1]	train-logloss:0.439549 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.298794 
[3]	train-logloss:0.209914 
[4]	train-logloss:0.150369 
[5]	train-logloss:0.109118 
[6]	train-logloss:0.079937 
[7]	train-logloss:0.059007 
[8]	train-logloss:0.043851 
[9]	train-logloss:0.032800 
[10]	train-logloss:0.024702 
[11]	train-logloss:0.018742 
[12]	train-logloss:0.014341 
[13]	train-logloss:0.011080 
[14]	train-logloss:0.008653 
[1]	train-logloss:0.439549 
Will train until train_logloss hasn't improved in 2 rounds.

[2]	train-logloss:0.298794 
[3]	train-logloss:0.209914 
[4]	train-logloss:0.150369 
[5]	train-logloss:0.109118 
[6]	train-logloss:0.079937 
[7]	train-logloss:0.059007 
[8]	train-logloss:0.043851 
[9]	train-logloss:0.032800 
[10]	train-logloss:0.024702 
[11]	train-logloss:0.018742 
[12]	train-logloss:0.014341 
[13]	train-logloss:0.011080 
[14]	train-logloss:0.008653 
[ FAIL 0 | WARN 8 | SKIP 0 | PASS 104 ]

[ FAIL 0 | WARN 8 | SKIP 0 | PASS 104 ]
> 
> proc.time()
   user  system elapsed 
 56.757   1.788  59.010 

Example timings

scDblFinder.Rcheck/scDblFinder-Ex.timings

nameusersystemelapsed
TFIDF0.0480.0040.052
addDoublets0.4060.0410.451
amulet1.5590.0101.573
amuletFromCounts0.3120.0050.317
clusterStickiness5.8350.1015.959
computeDoubletDensity3.2390.1103.362
createDoublets0.2770.0040.284
cxds20.3750.0050.383
directDblClassification1.8610.0691.943
doubletPairwiseEnrichment4.2950.0574.374
doubletThresholding5.3700.0885.496
fastcluster0.5250.0080.534
findDoubletClusters0.9560.0621.025
getArtificialDoublets0.0040.0000.004
getCellPairs0.0100.0010.011
getExpectedDoublets0.0020.0010.003
mockDoubletSCE0.2570.0040.263
propHomotypic0.0000.0000.001
recoverDoublets0.1190.0030.123
scDblFinder5.2910.0855.413
selFeatures0.2850.0040.291