Package: pguIMP 0.1.1

Jorn Lotsch

pguIMP: Visually Guided Preprocessing of Bioanalytical Laboratory Data

Reproducible cleaning of biomedical laboratory data using visualization, error correction, and transformation methods implemented as interactive R notebooks. A detailed description of the methods ca ben found in Malkusch, S., Hahnefeld, L., Gurke, R. and J. Lotsch. (2021) <doi:10.1002/psp4.12704>.

Authors:Sebastian Malkusch [aut], Jorn Lotsch [aut, cre]

pguIMP_0.1.1.tar.gz
pguIMP_0.1.1.zip(r-4.7-any)pguIMP_0.1.1.zip(r-4.6-any)
pguIMP_0.1.1.tar.gz(r-4.7-any)pguIMP_0.1.1.tar.gz(r-4.6-any)
pguIMP_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pguIMP/json (API)

# Install 'pguIMP' in R:
install.packages('pguIMP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jornlotsch/pguimp/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

openjdk

1.00 score 1 scripts 274 downloads 32 exports 180 dependencies

Last updated from:64975f246d. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK243
source / vignettesOK270
linux-releaseOK236
windows-develOK221
windows-releaseOK191
wasm-releaseOK160

Exports:centralValuedLogLikelihoodimportDataSetknnImputationnnknormalDistributionpgu.correlatorpgu.corrValidatorpgu.datapgu.delegatepgu.explorerpgu.exporterpgu.filepgu.filterpgu.importerpgu.imputationpgu.limitsOfQuantificationpgu.missingspgu.missingsCharacterizerpgu.modelpgu.normalizerpgu.normDistpgu.optimizerpgu.outlierspgu.regressorpgu.reporterpgu.statuspgu.transformatorpgu.validatorpguIMPsLogLikelihoodtransposeTibble

Dependencies:askpassbackportsbase64encbbmlebdsmatrixbitbit64bootbroombslibcachemcellrangercheckmateclassclicliprclustercodetoolscoincolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tableDataVisualizationsdbscanDEoptimRDescToolsdigestdplyrDTe1071evaluateExactexpmfarverfastmapfinalfitfit.modelsfontawesomeforcatsforeachforeignFormulafsgenericsGGallyggplot2ggstatsggthemesgldglmnetglueGPArotationgridExtragtablehavenhighrHmischmshtmlTablehtmltoolshtmlwidgetshttpuvhttrisobanditeratorsjomojquerylibjsonliteknitrlabelinglaekenlaterlatticelazyevallibcoinlifecyclelme4lmomlmtestmagrittrMASSMatrixmatrixStatsmemoisemicemimeminqamitmlmnormtmodeltoolsmultcompmultcompViewmvtnormnlmenloptrnnetnortestnumDerivopensslordinaloteloutlierspanpatchworkpcaPPpillarpkgconfigplotlyplyrpracmaprettyunitspROCprogresspromisesproxypsychpurrrR6rangerrappdirsrbibutilsRColorBrewerrcompanionRcppRcppEigenRcppParallelRdpackreadrreadxlreformulasrematchreshape2rJavarlangrmarkdownrobustrobustbaserootSolverpartrrcovrstudioapiRWekaRWekajarsS7sandwichsassscalesshapeshinysourcetoolsspstringistringrsurvivalsysTH.datatibbletidyrtidyselecttinytextzdbucminfutf8vcdvctrsVIMviridisLitevroomwithrwritexlxfunxgboostxtableyamlzoo

Readme and manuals

Help Manual

Help pageTopics
Visually Guided Preprocessing of Bioanalytical Laboratory DatapguIMP-package
centralValuecentralValue
dLogLikelihooddLogLikelihood
importDataSetimportDataSet
knnImputationknnImputation
nnknnk
normalDistributionnormalDistribution
pgu.correlatorpgu.correlator
pgu.corrValidatorpgu.corrValidator
pgu.datapgu.data
pgu.delegatepgu.delegate
pgu.explorerpgu.explorer
pgu.exporterpgu.exporter
pgu.fiepgu.file
pgu.filterpgu.filter
pgu.importerpgu.importer
pgu.imputationpgu.imputation
pgu.limitsOfQuantificationpgu.limitsOfQuantification
pgu.missingspgu.missings
pgu.missingsCharacterizerpgu.missingsCharacterizer
pgu.modelpgu.model
pgu.normalizerpgu.normalizer
pgu.normDistpgu.normDist
pgu.optimizerpgu.optimizer
pgu.outlierspgu.outliers
pgu.regressorpgu.regressor
pgu.reporterpgu.reporter
pgu.statuspgu.status
pgu.transformatorpgu.transformator
pgu.validatorpgu.validator
pguIMPpguIMP
dLogLikelihoodsLogLikelihood
transposeTibbletransposeTibble