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.
Version: 2.0.3 Imports: Rcpp (≥ 1.0.11), Matrix LinkingTo: Rcpp Suggests: MatrixExtra Published: 2025-03-22 DOI: 10.32614/CRAN.package.rpc Author: Somak Dutta [aut, cre, cph], An Nguyen [aut, ctb], Run Wang [ctb], Vivekananda Roy [ctb] Maintainer: Somak Dutta <somakd at iastate.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes CRAN checks: rpc results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rpc to link to this page.
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