# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "rpc" in publications use:' type: software license: GPL-2.0-or-later title: 'rpc: Ridge Partial Correlation' version: 2.0.3 doi: 10.32614/CRAN.package.rpc abstract: 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. authors: - family-names: Dutta given-names: Somak email: somakd@iastate.edu - family-names: Nguyen given-names: An repository: https://somakd.r-universe.dev commit: 2fe95246a6d1aae2e84bf7d473c7a9d15898b65d date-released: '2025-03-20' contact: - family-names: Dutta given-names: Somak email: somakd@iastate.edu