Package: rpc 2.0.3

rpc: Ridge Partial Correlation

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:Somak Dutta [aut, cre, cph], An Nguyen [aut, ctb], Run Wang [ctb], Vivekananda Roy [ctb]

rpc_2.0.3.tar.gz
rpc_2.0.3.zip(r-4.7-x86_64)rpc_2.0.3.zip(r-4.7-arm64)rpc_2.0.3.zip(r-4.6-x86_64)rpc_2.0.3.zip(r-4.6-arm64)rpc_2.0.3.zip(r-4.5-x86_64)
rpc_2.0.3.tgz(r-4.6-x86_64)rpc_2.0.3.tgz(r-4.6-arm64)rpc_2.0.3.tgz(r-4.5-x86_64)rpc_2.0.3.tgz(r-4.5-arm64)
rpc_2.0.3.tar.gz(r-4.7-arm64)rpc_2.0.3.tar.gz(r-4.7-x86_64)rpc_2.0.3.tar.gz(r-4.6-arm64)rpc_2.0.3.tar.gz(r-4.6-x86_64)
rpc_2.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
rpc/json (API)

# Install 'rpc' in R:

install.packages('rpc', repos = c('https://somakd.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/somakd/rpc/issues

Uses libs:

c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

cpp openmp

2.28 score 19 scripts 182 downloads 3 exports 3 dependencies

Last updated from:2fe95246a6. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	105
linux-devel-x86_64	OK	122
source / vignettes	OK	179
linux-release-arm64	OK	87
linux-release-x86_64	OK	159
macos-release-arm64	OK	185
macos-release-x86_64	OK	292
macos-oldrel-arm64	OK	230
macos-oldrel-x86_64	OK	311
windows-devel-arm64	OK	358
windows-devel-x86_64	OK	104
windows-release-arm64	OK	332
windows-release-x86_64	OK	106
windows-oldrel-x86_64	OK	115
wasm-release	OK	90