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
NeedsCompilation: yes
Packaged: 2025-03-20 15:42:25 UTC; somakd
Author: Somak Dutta [aut, cre, cph],
  An Nguyen [aut, ctb],
  Run Wang [ctb],
  Vivekananda Roy [ctb]
Repository: CRAN
Date/Publication: 2025-03-22 12:10:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 12:23:31 UTC; unix
Archs: rpc.so.dSYM
