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 |
Reference manual: | PCGII.pdf |
Vignettes: |
Introduction (source, R code) |
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-devel (arm64): PCGII_1.1.2.tgz, r-release (arm64): PCGII_1.1.2.tgz, r-oldrel (arm64): PCGII_1.1.2.tgz, r-devel (x86_64): PCGII_1.1.2.tgz, r-release (x86_64): PCGII_1.1.2.tgz, r-oldrel (x86_64): PCGII_1.1.2.tgz |
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