Package: rpc
Type: Package
Title: Ridge Partial Correlation
Version: 2.0.3
Date: 2025-03-20
Authors@R: c(
  person(given="Somak", family="Dutta", role=c("aut", "cre", "cph"),
         email="somakd@iastate.edu"),
  person(given="An", family="Nguyen", role=c("aut","ctb")),
  person(given="Run", family="Wang", role="ctb"),
  person(given="Vivekananda", family="Roy", role="ctb")
  )
Encoding: UTF-8
Maintainer: Somak Dutta <somakd@iastate.edu>
Description: Computes the ridge partial correlation coefficients in a
        high or ultra-high dimensional linear regression problem. An
        extended Bayesian information criterion is also implemented for
        variable selection. Users provide the matrix of covariates as a
        usual dense matrix or a sparse matrix stored in a compressed
        sparse column format. Detail of the method is given in the
        manual.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.11), Matrix
Suggests: MatrixExtra
LinkingTo: Rcpp
RoxygenNote: 7.3.2
Repository: https://somakd.r-universe.dev
Date/Publication: 2025-03-20 22:33:31 UTC
RemoteUrl: https://github.com/somakd/rpc
RemoteRef: HEAD
RemoteSha: 2fe95246a6d1aae2e84bf7d473c7a9d15898b65d
NeedsCompilation: yes
Packaged: 2026-10-14 07:07:15 UTC; root
Author: Somak Dutta [aut, cre, cph],
  An Nguyen [aut, ctb],
  Run Wang [ctb],
  Vivekananda Roy [ctb]