The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

PCGII: Partial Correlation Graph with Information Incorporation

Large-scale gene expression studies allow gene network construction to uncover associations among genes. This package is developed for estimating and testing partial correlation graphs with prior information incorporated.

Version: 1.1.2
Depends: R (≥ 4.3.0)
Imports: stats, corpcor (≥ 1.6.10), glmnet, igraph (≥ 1.5.0.1), Matrix, dplyr (≥ 1.1.4)
Suggests: mvtnorm, tidyverse, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-02-02
DOI: 10.32614/CRAN.package.PCGII
Author: Hao Wang [aut, cre], Yumou Qiu [aut], Peng Liu [aut]
Maintainer: Hao Wang <haydo.wang at outlook.com>
License: MIT + file LICENSE
URL: https://haowang47.github.io/PCGII/
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: PCGII results

Documentation:

Reference manual: PCGII.pdf
Vignettes: Introduction

Downloads:

Package source: PCGII_1.1.2.tar.gz
Windows binaries: r-devel: PCGII_1.1.2.zip, r-release: PCGII_1.1.2.zip, r-oldrel: PCGII_1.1.2.zip
macOS binaries: r-release (arm64): PCGII_1.1.2.tgz, r-oldrel (arm64): PCGII_1.1.2.tgz, r-release (x86_64): PCGII_1.1.2.tgz, r-oldrel (x86_64): PCGII_1.1.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PCGII to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.