CausalR

This package is for version 3.21 of Bioconductor; for the stable, up-to-date release version, see CausalR.

Causal network analysis methods

Bioconductor version: 3.21

Causal network analysis methods for regulator prediction and network reconstruction from genome scale data.

Author: Glyn Bradley, Steven Barrett, Chirag Mistry, Mark Pipe, David Wille, David Riley, Bhushan Bonde, Peter Woollard

Maintainer: Glyn Bradley <glyn.x.bradley at gsk.com>, Steven Barrett <steven.j.barrett at gsk.com>

Citation (from within R, enter citation("CausalR")):

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
BiocManager::install("CausalR")

For older versions of R, please refer to the appropriate Bioconductor release.

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CausalR")

CausalR.pdf PDF R Script

Reference Manual PDF

Version 1.40.0

In Bioconductor since BioC 3.2 (R-3.2) (10 years)

License GPL (>= 2)

Depends R (>= 3.2.0)

Imports igraph

System Requirements

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Follow Installation instructions to use this package in your R session.

Source Package CausalR_1.40.0.tar.gz

Windows Binary (x86_64) CausalR_1.40.0.zip

macOS Binary (x86_64) CausalR_1.40.0.tgz

macOS Binary (arm64) CausalR_1.40.0.tgz

Source Repository git clone https://git.bioconductor.org/packages/CausalR

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CausalR

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