Package: varPro 3.1.0

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_3.1.0.tar.gz
varPro_3.1.0.zip(r-4.7)varPro_3.1.0.zip(r-4.6)varPro_3.1.0.zip(r-4.5)
varPro_3.1.0.tgz(r-4.6-x86_64)varPro_3.1.0.tgz(r-4.6-arm64)varPro_3.1.0.tgz(r-4.5-x86_64)varPro_3.1.0.tgz(r-4.5-arm64)
varPro_3.1.0.tar.gz(r-4.7-arm64)varPro_3.1.0.tar.gz(r-4.7-x86_64)varPro_3.1.0.tar.gz(r-4.6-arm64)varPro_3.1.0.tar.gz(r-4.6-x86_64)
varPro_3.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
varPro/json (API)
NEWS

# Install 'varPro' in R:
install.packages('varPro', repos = c('https://kogalur.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

5.03 score 3 stars 3 packages 1 scripts 699 downloads 29 exports 76 dependencies

Last updated from:dbbb4d6351. Checks:11 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING186
linux-devel-x86_64WARNING181
source / vignettesOK215
linux-release-arm64WARNING186
linux-release-x86_64WARNING168
macos-release-arm64WARNING126
macos-release-x86_64WARNING219
macos-oldrel-arm64WARNING101
macos-oldrel-x86_64WARNING237
windows-develWARNING144
windows-releaseWARNING140
windows-oldrelWARNING145
wasm-releaseOK156

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