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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 |
| 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 |
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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.