- using R Under development (unstable) (2026-08-31 r90457)
- using platform: x86_64-pc-linux-gnu
- R was compiled by
gcc-16 (Debian 16.2.0-1) 16.2.0
GNU Fortran (Debian 16.2.0-1) 16.2.0
- running under: Debian GNU/Linux forky/sid
- using session charset: UTF-8
* current time: 2026-09-01 17:20:54 UTC
- checking for file ‘randomUniformForest/DESCRIPTION’ ... OK
- checking extension type ... Package
- this is package ‘randomUniformForest’ version ‘1.1.6’
- checking CRAN incoming feasibility ... [1s/2s] NOTE
Maintainer: ‘Saip Ciss <saip.ciss@wanadoo.fr>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Saip",
family = "Ciss",
role = c("aut", "cre"),
email = "saip.ciss@wanadoo.fr")
as necessary.
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- checking whether package ‘randomUniformForest’ can be installed ... OK
See the install log for details.
- used C compiler: ‘gcc-16 (Debian 16.2.0-1) 16.2.0’
- used C++ compiler: ‘g++-16 (Debian 16.2.0-1) 16.2.0’
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- checking for code/documentation mismatches ... INFO
Exported functions without usage information:
CheckSameValuesInAllAttributes CheckSameValuesInLabels HuberDist Id
L1Dist L2.logDist L2Dist MDSscale NAFeatures NATreatment
NAfactor2matrix OOBVotesScale OOBquantiles as.true.matrix bCICore
combineRUFObjects concat concatCore confusion.matrix copulaLike
count.factor dates2numeric define_train_test_sets difflog
dummy.recode estimatePredictionAccuracy estimaterequiredSampleSize
expectedSquaredBias extractYFromData fScore factor2matrix
factor2vector fillVariablesNames fillWith filter.forest filter.object
filterOutliers find.first.idx find.idx find.root fullNode gMean
gap.stats generalization.error generic.log generic.smoothing.log
genericCbind genericNode genericOutput getCorr getOddEven
getVotesProbability getVotesProbability2 hClust importance inDummies
insert.in.vector insert.in.vector2 interClassesVariance
intraClassesVariance is.wholenumber kBiggestProximities kMeans
kappaStat keep.index lagFunction leafNode localTreeImportance
localVariableImportance majorityClass matrix2factor matrix2factor2
mergeLists mergeOutliers min_or_max modX modelingResiduals
monitorOOBError myAUC na.impute na.missing na.replace
observationsImportance onlineClassify onlineCombineRUF
optimizeFalsePositives options.filter outputPerturbationSampling
outsideConfIntLevels overSampling parallelNA.replace permuteCatValues
perspWithcol plotTreeCore plotTreeCore2 predictDecisionTree
predictionvsResponses proximitiesMatrix pseudoHuberDist
pseudoNAReplace rUniformForest.merge rUniformForestPredict
randomCombination randomUniformForest randomUniformForestCore
randomUniformForestCore.big randomUniformForestCore.merge
randomUniformForestCore.predict randomWhichMax randomize
rankingTrainData reduce.trees residualsRandomUniformForest
rewind.trees rm.InAList rm.coordinates rm.correlation rm.string
rm.tempdir rmInAListByNames rmInf rmNA rmNoise rollApplyFunction
rufImpute scale2AnyValues scalingMDS setManyDatasets smoothing.log
someErrorType sortDataframe sortMatrix specClust splitVarCore
standardize standardize_vect strength_and_correlation subsampleFile
timeStampCore timer twoColumnsImportance uniformDecisionTree
unsupervised unsupervised2supervised updateCombined.unsupervised
variance vector2factor vector2matrix weightedVote weightedVoteModel
which.is.duplicate which.is.factor which.is.na which.is.nearestCenter
which.is.wholenumber
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- checking examples ... [2s/25s] OK
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
roc.curve 0.196 0.072 5.101
biasVarCov 0.162 0.012 6.729
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- DONE
Status: 1 NOTE