Learn R Programming

rpc (version 2.0.3)

Ridge Partial Correlation

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.

Copy Link

Version

Install

install.packages('rpc')

Monthly Downloads

129

Version

2.0.3

License

GPL (>= 2)

Maintainer

Somak Dutta

Last Published

March 22nd, 2025

Functions in rpc (2.0.3)

eBIC

Model selection using extended BIC
XXt.compute

XXt Computation
rpc

Ridge Partial Correlations