Model-Independent Variable Selection via the Rule-Based Variable Priority R package varPro version 3.1.0 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. Software Depends: R (>= 4.3.0), Imports: randomForestSRC (>= 3.4.5), glmnet, parallel, foreach, gbm, BART, survival Suggests: mlbench, doMC, caret, MASS, igraph Udaya B. Kogalur <ubk@kogalur.com> Comprehensive R Archive Network (CRAN) Min Lu [aut], Aster K. Shear [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut] GPL (>= 3) 2026-04-19 application/tgz https://CRAN.R-project.org/package=varPro doi:10.32614/CRAN.package.varPro