Pierre-Luc Germain
| Snapshot Date: 2025-08-06 14:04 -0400 (Wed, 06 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) |
| Back to Multiple platform build/check report for BioC 3.22: simplified long |
|
This page was generated on 2025-08-07 12:08 -0400 (Thu, 07 Aug 2025).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo2 | Linux (Ubuntu 24.04.2 LTS) | x86_64 | 4.5.1 (2025-06-13) -- "Great Square Root" | 4815 |
| palomino8 | Windows Server 2022 Datacenter | x64 | 4.5.1 (2025-06-13 ucrt) -- "Great Square Root" | 4550 |
| lconway | macOS 12.7.1 Monterey | x86_64 | 4.5.1 (2025-06-13) -- "Great Square Root" | 4592 |
| kjohnson3 | macOS 13.7.1 Ventura | arm64 | 4.5.1 Patched (2025-06-14 r88325) -- "Great Square Root" | 4534 |
| 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 1878/2315 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| scDblFinder 1.23.3 (landing page) Pierre-Luc Germain
| nebbiolo2 | Linux (Ubuntu 24.04.2 LTS) / x86_64 | OK | OK | WARNINGS | | ||||||||
| palomino8 | Windows Server 2022 Datacenter / x64 | OK | OK | ERROR | OK | |||||||||
| lconway | macOS 12.7.1 Monterey / x86_64 | OK | OK | WARNINGS | OK | | ||||||||
| kjohnson3 | macOS 13.7.1 Ventura / arm64 | OK | OK | WARNINGS | OK | | ||||||||
|
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. |
| 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: 2025-08-06 23:58:55 -0400 (Wed, 06 Aug 2025) |
| EndedAt: 2025-08-07 00:05:25 -0400 (Thu, 07 Aug 2025) |
| EllapsedTime: 390.0 seconds |
| RetCode: 0 |
| Status: WARNINGS |
| CheckDir: scDblFinder.Rcheck |
| Warnings: 1 |
##############################################################################
##############################################################################
###
### 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 5.693 0.111 5.846
doubletThresholding 5.166 0.089 5.286
scDblFinder 5.013 0.099 5.149
* 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.
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)
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
[17] train-logloss:0.005208
[18] train-logloss:0.004371
[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
[15] train-logloss:0.007690
[16] train-logloss:0.006277
[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:0.450601
Will train until train_logloss hasn't improved in 2 rounds.
[2] train-logloss:0.313908
[3] train-logloss:0.227048
[4] train-logloss:0.169314
[5] train-logloss:0.128113
[6] train-logloss:0.099044
[7] train-logloss:0.076074
[8] train-logloss:0.059928
[9] train-logloss:0.047490
[10] train-logloss:0.038261
[11] train-logloss:0.030914
[12] train-logloss:0.025880
[13] train-logloss:0.021987
[14] train-logloss:0.019205
[15] train-logloss:0.016937
[1] train-logloss:0.450831
Will train until train_logloss hasn't improved in 2 rounds.
[2] train-logloss:0.314256
[3] train-logloss:0.227470
[4] train-logloss:0.169607
[5] train-logloss:0.127927
[6] train-logloss:0.098964
[7] train-logloss:0.077922
[8] train-logloss:0.060901
[9] train-logloss:0.048529
[10] train-logloss:0.039220
[11] train-logloss:0.031980
[12] train-logloss:0.027308
[13] train-logloss:0.023288
[1] train-logloss:0.451634
Will train until train_logloss hasn't improved in 2 rounds.
[2] train-logloss:0.316889
[3] train-logloss:0.229266
[4] train-logloss:0.171683
[5] train-logloss:0.129200
[6] train-logloss:0.099172
[7] train-logloss:0.078446
[8] train-logloss:0.061574
[9] train-logloss:0.048995
[10] train-logloss:0.039552
[11] train-logloss:0.032666
[12] train-logloss:0.027096
[13] train-logloss:0.023276
[14] train-logloss:0.020444
[15] train-logloss:0.018367
[16] train-logloss:0.016181
[1] train-logloss:0.445990
Will train until train_logloss hasn't improved in 2 rounds.
[2] train-logloss:0.307124
[3] train-logloss:0.219169
[4] train-logloss:0.160252
[5] train-logloss:0.118640
[6] train-logloss:0.089639
[7] train-logloss:0.068624
[8] train-logloss:0.053195
[9] train-logloss:0.041530
[10] train-logloss:0.033045
[11] train-logloss:0.026695
[12] train-logloss:0.021685
[13] train-logloss:0.017712
[14] train-logloss:0.014986
[15] train-logloss:0.013207
[1] train-logloss:0.445990
Will train until train_logloss hasn't improved in 2 rounds.
[2] train-logloss:0.307124
[3] train-logloss:0.219169
[4] train-logloss:0.160252
[5] train-logloss:0.118640
[6] train-logloss:0.089639
[7] train-logloss:0.068624
[8] train-logloss:0.053195
[9] train-logloss:0.041530
[10] train-logloss:0.033045
[11] train-logloss:0.026695
[12] train-logloss:0.021685
[13] train-logloss:0.017712
[1] train-logloss:0.445990
Will train until train_logloss hasn't improved in 2 rounds.
[2] train-logloss:0.307124
[3] train-logloss:0.219169
[4] train-logloss:0.160252
[5] train-logloss:0.118640
[6] train-logloss:0.089639
[7] train-logloss:0.068624
[8] train-logloss:0.053195
[9] train-logloss:0.041530
[10] train-logloss:0.033045
[11] train-logloss:0.026695
[12] train-logloss:0.021685
[13] train-logloss:0.017712
[14] train-logloss:0.014986
[15] train-logloss:0.013207
[16] train-logloss:0.011449
[17] train-logloss:0.010394
[18] train-logloss:0.009183
[19] train-logloss:0.008199
[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
57.113 1.923 59.484
scDblFinder.Rcheck/scDblFinder-Ex.timings
| name | user | system | elapsed | |
| TFIDF | 0.046 | 0.005 | 0.050 | |
| addDoublets | 0.424 | 0.047 | 0.475 | |
| amulet | 1.527 | 0.015 | 1.550 | |
| amuletFromCounts | 0.300 | 0.005 | 0.307 | |
| clusterStickiness | 5.693 | 0.111 | 5.846 | |
| computeDoubletDensity | 3.333 | 0.127 | 3.491 | |
| createDoublets | 0.307 | 0.004 | 0.313 | |
| cxds2 | 0.374 | 0.006 | 0.381 | |
| directDblClassification | 1.975 | 0.069 | 2.056 | |
| doubletPairwiseEnrichment | 4.468 | 0.058 | 4.549 | |
| doubletThresholding | 5.166 | 0.089 | 5.286 | |
| fastcluster | 0.529 | 0.008 | 0.541 | |
| findDoubletClusters | 0.854 | 0.056 | 0.916 | |
| getArtificialDoublets | 0.004 | 0.000 | 0.005 | |
| getCellPairs | 0.008 | 0.000 | 0.009 | |
| getExpectedDoublets | 0.002 | 0.001 | 0.002 | |
| mockDoubletSCE | 0.254 | 0.005 | 0.262 | |
| propHomotypic | 0 | 0 | 0 | |
| recoverDoublets | 0.117 | 0.003 | 0.121 | |
| scDblFinder | 5.013 | 0.099 | 5.149 | |
| selFeatures | 0.282 | 0.004 | 0.286 | |