Package: globaltest 5.67.0

Jelle Goeman

globaltest: Testing Groups of Covariates/Features for Association with a Response Variable, with Applications to Gene Set Testing

The global test tests groups of covariates (or features) for association with a response variable. This package implements the test with diagnostic plots and multiple testing utilities, along with several functions to facilitate the use of this test for gene set testing of GO and KEGG terms.

Authors:Jelle Goeman and Jan Oosting, with contributions by Livio Finos, Aldo Solari, Dominic Edelmann

globaltest_5.67.0.tar.gz
globaltest_5.67.0.zip(r-4.7)globaltest_5.67.0.zip(r-4.6)globaltest_5.67.0.zip(r-4.5)
globaltest_5.67.0.tgz(r-4.6-any)globaltest_5.67.0.tgz(r-4.5-any)
globaltest_5.67.0.tar.gz(r-4.7-any)globaltest_5.67.0.tar.gz(r-4.6-any)
globaltest_5.67.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
globaltest/json (API)

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

On BioConductor:globaltest-5.67.0(bioc 3.24)globaltest-5.66.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

microarrayonechannelbioinformaticsdifferentialexpressiongopathways

5.87 score 7 packages 78 scripts 2.3k downloads 43 exports 41 dependencies

Last updated from:54324cc1d1. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR223
linux-devel-x86_64NOTE307
source / vignettesOK424
linux-release-x86_64NOTE309
macos-release-arm64NOTE179
macos-oldrel-arm64NOTE190
windows-develNOTE203
windows-releaseNOTE175
windows-oldrelNOTE197
wasm-releaseOK168

Exports:aliasalias<-bbasebtensorcoefficientscombinecomparativecovariatesdrawextractfeaturesfindFocusfitted.valuesfocusLevelgtgt.optionsgtBroadgtConceptgtGOgtKEGGgtKSgtLIgtPShistinheritanceleafNodesmlogitmodel.matrixp.adjustp.valuereparamZresidualsresultreweighZshowsizesortstermssubjectssubsetssummaryweightsz.score

Dependencies:annotateAnnotationDbiaskpassBiobaseBiocGenericsBiostringsbitbit64blobcachemclicpp11crayoncurlDBIfastmapgenericsgluehttrIRangesjsonliteKEGGRESTlatticelifecycleMatrixmemoisemimeopensslpkgconfigpngR6rlangRSQLiteS4VectorsSeqinfosurvivalsysvctrsXMLxtableXVector

Global Test

Rendered fromGlobalTest.Rnwusingutils::Sweaveon Jun 07 2026.

Last update: 2020-04-07
Started: 2013-11-01

Readme and manuals

Help Manual

Help pageTopics
Comparative proportions for the Global Testcomparative
Global Test diagnostic plotscovariates diagnostics features subjects
Global Testglobaltest gt
Gene set testing of gene set databases using Global TestgtBroad gtConcept gtGO gtKEGG gtKEGGREST
Goodness of fit testing in regression models using Global Testbbase btensor gtKS gtLI gtPS reparamZ reweighZ sterms
Class "gt.object" for storing the result of the function gtalias,gt.object-method alias<- alias<-,gt.object-method extract extract,gt.object-method gt.object gt.object-class hist,gt.object-method length,gt.object-method model.matrix,gt.object-method names,gt.object-method names<-,gt.object-method p.adjust,gt.object-method p.value p.value,gt.object-method result result,gt.object-method show,gt.object-method size size,gt.object-method sort,gt.object-method sterms,gt.object-method subsets subsets,gt.object-method summary,gt.object-method weights,gt.object-method z.score z.score,gt.object-method [,gt.object,ANY,ANY,ANY-method [,gt.object-method [[,gt.object-method
Options for globaltest packagegt.options
Multinomial Logistic Regressioncoefficients,mlogit-method fitted.values,mlogit-method mlogit mlogit-class residuals,mlogit-method show,mlogit-method summary,mlogit-method
Multiple testing correction for the Global Testdraw findFocus focusLevel inheritance leafNodes