Package: vcpen 1.9

Jason Sinnwell

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.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://cran.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 2 scripts 182 downloads 4 exports 7 dependencies

Last updated from:23fbe39df5. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK164
linux-devel-x86_64OK148
source / vignettesOK208
linux-release-arm64OK160
linux-release-x86_64OK164
wasm-releaseOK140

Exports:kernel_linearminquesummary.vcpenvcpen

Dependencies:evaluatehighrknitrRcppRcppArmadilloxfunyaml

Penalized Variance Components

JP Sinnwell, DJ Schaid

Rendered fromvcpen.Rmdusingknitr::rmarkdownon Jun 14 2026.

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