Package: vcpen 1.9

vcpen: Penalized Variance Components Analysis

Method to perform penalized variance component analysis.

Authors:Jason Sinnwell [aut, cre], Daniel Schaid [aut]

vcpen_1.9.tar.gz
vcpen_1.9.zip(r-4.7)vcpen_1.9.zip(r-4.6)vcpen_1.9.zip(r-4.5)
vcpen_1.9.tgz(r-4.6-x86_64)vcpen_1.9.tgz(r-4.6-arm64)vcpen_1.9.tgz(r-4.5-x86_64)vcpen_1.9.tgz(r-4.5-arm64)
vcpen_1.9.tar.gz(r-4.7-arm64)vcpen_1.9.tar.gz(r-4.7-x86_64)vcpen_1.9.tar.gz(r-4.6-arm64)vcpen_1.9.tar.gz(r-4.6-x86_64)
vcpen_1.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
vcpen/json (API)
NEWS

# Install 'vcpen' in R:
install.packages('vcpen', repos = c('https://sinnweja.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • covmat - Example data for Penalized Variance Component method
  • dose - Example data for Penalized Variance Component method
  • doseinfo - Example data for Penalized Variance Component method
  • response - Example data for Penalized Variance Component method

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

2.70 score 1 scripts 207 downloads 4 exports 7 dependencies

Last updated from:23fbe39df5. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK139
linux-devel-x86_64OK147
source / vignettesOK208
linux-release-arm64OK132
linux-release-x86_64OK147
macos-release-arm64OK125
macos-release-x86_64OK313
macos-oldrel-arm64OK147
macos-oldrel-x86_64OK282
windows-develOK124
windows-releaseOK159
windows-oldrelOK133
wasm-releaseOK125

Exports:kernel_linearminquesummary.vcpenvcpen

Dependencies:evaluatehighrknitrRcppRcppArmadilloxfunyaml

Penalized Variance Components

Rendered fromvcpen.Rmdusingknitr::rmarkdownon May 05 2026.

Last update: 2020-07-01
Started: 2020-07-01