Package: varPro
Version: 2.0.0
Date: 2026-01-11
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/
NeedsCompilation: yes
Packaged: 2026-01-11 14:05:13 UTC; kogalur
Repository: CRAN
Date/Publication: 2026-01-11 14:20:02 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2026-01-19 06:04:48 UTC; windows
Archs: x64
