Package: varPro
Version: 3.3.1
Date: 2026-09-25
Title: Model-Independent Variable Selection via the Rule-Based Variable
        Priority
Authors@R: c(person("Min", "Lu", email = "luminwin@gmail.com", role = "aut"),
  person("Aster K.", "Shear", email = "aster.shear@gmail.com", role = "aut"),
  person("Udaya B.", "Kogalur", email = "ubk@kogalur.com", role = c("aut", "cre")),
  person("Hemant", "Ishwaran", email = "hemant.ishwaran@gmail.com", role = "aut"))
Author: Min Lu [aut], Aster K. Shear [aut], Udaya B. Kogalur [aut,
        cre], Hemant Ishwaran [aut]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
BugReports: https://github.com/kogalur/varPro/issues/
Depends: R (>= 4.3.0),
Imports: randomForestSRC (>= 3.4.5), glmnet, parallel, foreach, gbm,
        BART, survival
Suggests: mlbench, doMC, caret, MASS, igraph
SystemRequirements: OpenMP
Description: 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.
License: GPL (>=3)
URL: https://www.varprotools.org/ https://www.luminwin.net/
        https://ishwaran.org/
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev libx11-dev
Repository: https://kogalur.r-universe.dev
Date/Publication: 2026-09-26 02:30:00 UTC
RemoteUrl: https://github.com/kogalur/varpro
RemoteRef: HEAD
RemoteSha: 2681164bf3de2f4069e45ed13191f7bc511e8fe6
NeedsCompilation: yes
Packaged: 2026-09-26 08:05:37 UTC; root