This package is considered a duplicate. The official version of this package is found at:https://kogalur.r-universe.dev/varPro

Package: varPro 3.1.0

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_3.1.0.tar.gz
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://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:

openmp

2.65 score 3 packages 6 scripts 767 downloads 29 exports 76 dependencies

Last updated from:ae25397fbb. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	191
linux-devel-x86_64	OK	192
source / vignettes	OK	232
linux-release-arm64	OK	182
linux-release-x86_64	OK	187
wasm-release	OK	131

Exports:bart.learner beta.varpro cv.varpro gbm.learner get.beta.entropy get.iso.performance get.mc.cores get.orgvimp get.splitweight.custom get.topvars get.varpro.strengthArray get.vimp importance importance.rhf importance.varpro.workhorse isopro ivarpro local.importance outpro outpro.null partialpro rf.learner roughfix sdependent shap.ivarpro uvarpro varpro varpro.news varpro.strength

Dependencies:BART base64enc bit bit64 bslib cachem cli clipr codetools cpp11 crayon data.tree DiagrammeR digest dplyr evaluate farver fastmap fontawesome foreach fs gbm generics glmnet glue highr hms htmltools htmlwidgets igraph iterators jquerylib jsonlite knitr labeling lattice lifecycle magrittr Matrix memoise mime nlme pillar pkgconfig prettyunits progress purrr R6 randomForestSRC rappdirs RColorBrewer Rcpp RcppEigen readr rlang rmarkdown rstudioapi sass scales shape stringi stringr survival tibble tidyr tidyselect tinytex tzdb utf8 vctrs viridisLite visNetwork vroom withr xfun yaml

Citation

Readme and manuals

Help Manual

Help page	Topics
Alzheimer's Disease Dataset	alzheimers
Cross-Validated Cutoff Value for Variable Priority (VarPro)	cv.varpro
Diffuse Adult Glioma	glioma
Exercise Heart Rate Recovery and Mortality	hrrecov
Calculate Importance for VarPro and UVarPro Objects	importance importance.rhf importance.uvarpro importance.varpro
Identify Anomalous Data	isopro
Individual Variable Priority (iVarPro): Case-Specific Variable Importance	ivarpro
Model and subsapce aware out-of-distribution (OOD) scoring with outPro	outpro outpro.null
Partial Effects for Variable(s)	partialpro
Plot iVarPro Gradients for a Single Variable	plot.ivarpro
Plot method for partialpro objects	plot.partialpro
Prediction for Isopro for Identifying Anomalous Data	predict.isopro
Predict iVarPro Gradients on New Data	predict.ivarpro
Prediction on Test Data using Unsupervised VarPro	predict.uvarpro
Prediction on Test Data using VarPro	predict.varpro
Unsupervised Variable Selection using Variable Priority (UVarPro)	uvarpro
Model-Independent Variable Selection via the Rule-based Variable Priority (VarPro)	varpro
Show the NEWS file	varpro.news
Obtain Strength Array and Other Values from a VarPro Object	varpro.strength

Package: varPro 3.1.0

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

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)