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-4.5-noble)vcpen_1.9.tar.gz(r-4.4-noble)
vcpen_1.9.tgz(r-4.4-emscripten)vcpen_1.9.tgz(r-4.3-emscripten)
vcpen.pdf |vcpen.html✨
vcpen/json (API)
NEWS

# Install 'vcpen' in R:
install.packages('vcpen', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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 176 downloads 4 exports 7 dependencies

Last updated 3 years agofrom:23fbe39df5. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 22 2024
R-4.5-linux-x86_64OKDec 22 2024

Exports:kernel_linearminquesummary.vcpenvcpen

Dependencies:evaluatehighrknitrRcppRcppArmadilloxfunyaml

Penalized Variance Components

JP Sinnwell, DJ Schaid

Rendered fromvcpen.Rmdusingknitr::rmarkdownon Dec 22 2024.

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