Package: PCGII 1.1.2

Hao Wang

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.

Authors:Hao Wang [aut, cre], Yumou Qiu [aut], Peng Liu [aut]

PCGII_1.1.2.tar.gz
PCGII_1.1.2.zip(r-4.7-any)PCGII_1.1.2.zip(r-4.6-any)PCGII_1.1.2.zip(r-4.5-any)
PCGII_1.1.2.tgz(r-4.6-any)PCGII_1.1.2.tgz(r-4.5-any)
PCGII_1.1.2.tar.gz(r-4.7-any)PCGII_1.1.2.tar.gz(r-4.6-any)
PCGII_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PCGII/json (API)

# Install 'PCGII' in R:

install.packages('PCGII', repos = c('https://haowang47.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/haowang47/pcgii/issues

Pkgdown/docs site:https://haowang47.github.io

On CRAN:

3.95 score 1 stars 18 scripts 240 downloads 8 exports 28 dependencies

Last updated from:d5212e388e. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	258
source / vignettes	OK	247
linux-release	OK	174
macos-release	OK	177
macos-oldrel	OK	185
windows-devel	OK	108
windows-release	OK	119
windows-oldrel	OK	106
wasm-release	OK	148

Exports:clevel inference make_random_precision_mat make_sf_precision_mat makeBlockDiag PCGII sigs2mat undirected_prior

Dependencies:cli codetools corpcor cpp11 dplyr foreach generics glmnet glue igraph iterators lattice lifecycle magrittr Matrix pillar pkgconfig R6 Rcpp RcppEigen rlang shape survival tibble tidyselect utf8 vctrs withr

Introduction

Rendered fromIntroduction.Rmdusingknitr::knitr

Last update: 2024-02-06
Started: 2024-01-26

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Get the estimated partial correlation graph without information incorporation	clevel
Conduct simultaneous inference of estimated partial correlations	inference
Generate unstructured/random network skeleton and simulates corresponding precision matrix	make_random_precision_mat
Generate scale-free network skeleton and simulates corresponding precision matrix	make_sf_precision_mat
Generate block-diagonal matrix of size p by p	makeBlockDiag
Get the estimated partial correlation graph with information incorporation	PCGII
Utility function for PCGII inference results	sigs2mat
Pre-process the input prior set to ensure the input prior set corresponds to an undirected prior network	undirected_prior