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CausalR

This is the development version of CausalR; for the stable release version, see CausalR.

All Bioconductor versions of CausalR

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2

Causal network analysis methods

Bioconductor version: 3.24 · Package version: 1.45.0

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>

DOI: 10.18129/B9.bioc.CausalR

Citation

From within R, enter citation("CausalR"):

Glyn Bradley, Steven Barrett, Chirag Mistry, Mark Pipe, David Wille, David Riley, Bhushan Bonde, Peter Woollard. CausalR: Causal network analysis methods. doi:10.18129/B9.bioc.CausalR, R package version 1.45.0, https://bioconductor.org/packages/CausalR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("CausalR")

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

Details

Version1.45.0
LicenseGPL (>= 2)
Last updated2026-04-28
In Bioconductor sinceBioC 3.2 (R-3.2) (10 years)
Downloads rank1496 of 2,456
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, GraphAndNetwork, ImmunoOncology, Microarray, Network, Network Inference, Proteomics, RNASeq, Software, SystemsBiology, Transcriptomics
Package Short Url https://bioconductor.org/packages/CausalR/

Documentation

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

browseVignettes("CausalR")
CausalR : an R Package for causal reasoning on networks PDF R Script
Reference ManualPDF

Download

Follow the installation instructions to use this package in your R session.

Source packageCausalR_1.45.0.tar.gz
Windows binary (x86_64)CausalR_1.45.0.zip
macOS binary (arm64)CausalR_1.45.0.tgz
macOS binary (x86_64)CausalR_1.45.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/CausalR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/CausalR
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 3.2.0)

Imports: igraph

Suggests: knitr, RUnit, BiocGenerics