Package: varPro 3.3.0

Udaya B. Kogalur

varPro: Model-Independent Variable Selection via the Rule-Based Variable Priority

A new framework of variable selection, which instead of generating artificial covariates such as permutation importance and knockoffs, creates release rules to examine the affect on the response for each covariate where the conditional distribution of the response variable can be arbitrary and unknown.

Authors:Min Lu [aut], Aster K. Shear [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut]

varPro_3.3.0.tar.gz
varPro_3.3.0.zip(r-4.7-x86_64)varPro_3.3.0.zip(r-4.7-arm64)varPro_3.3.0.zip(r-4.6-x86_64)varPro_3.3.0.zip(r-4.6-arm64)
varPro_3.3.0.tar.gz(r-4.7-arm64)varPro_3.3.0.tar.gz(r-4.7-x86_64)varPro_3.3.0.tar.gz(r-4.6-arm64)varPro_3.3.0.tar.gz(r-4.6-x86_64)
varPro_3.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
varPro/json (API)

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

Bug tracker:https://github.com/kogalur/varpro/issues

Pkgdown/docs site:https://www.varprotools.org

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • alzheimers - Alzheimer's Disease Dataset
  • glioma - Diffuse Adult Glioma
  • hrrecov - Exercise Heart Rate Recovery and Mortality

On CRAN:

Conda:

openmp

3.26 score 3 packages 29 scripts 1.0k downloads 29 exports 76 dependencies

Last updated from:a9ef350569. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK151
linux-devel-x86_64OK172
source / vignettesOK246
linux-release-arm64OK146
linux-release-x86_64OK163
windows-devel-arm64OK250
windows-devel-x86_64OK204
windows-release-arm64OK244
windows-release-x86_64OK147
wasm-releaseOK174

Exports:bart.learnerbeta.varprocv.varprogbm.learnerget.beta.entropyget.iso.performanceget.mc.coresget.orgvimpget.splitweight.customget.topvarsget.varpro.strengthArrayget.vimpimportanceimportance.rhfimportance.varpro.workhorseisoproivarprolocal.importanceoutprooutpro.nullpartialprorf.learnerroughfixsdependentshap.ivarprouvarprovarprovarpro.newsvarpro.strength

Dependencies:BARTbase64encbitbit64bslibcachemclicliprcodetoolscpp11crayondata.treeDiagrammeRdigestdplyrevaluatefarverfastmapfontawesomeforeachfsgbmgenericsglmnetgluehighrhmshtmltoolshtmlwidgetsigraphiteratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimenlmepillarpkgconfigprettyunitsprogresspurrrR6randomForestSRCrappdirsRColorBrewerRcppRcppEigenreadrrlangrmarkdownrstudioapisassscalesshapestringistringrsurvivaltibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml