CausalR
This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see CausalR.
Causal network analysis methods
Bioconductor version: 3.18
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("CausalR")):
Installation
To install this package, start R (version "4.3") 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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CausalR")| CausalR.pdf | R Script | |
| Reference Manual |
Details
| biocViews | DifferentialExpression, GraphAndNetwork, ImmunoOncology, Microarray, Network, Network Inference, Proteomics, RNASeq, Software, SystemsBiology, Transcriptomics |
| Version | 1.34.0 |
| In Bioconductor since | BioC 3.2 (R-3.2) (8.5 years) |
| License | GPL (>= 2) |
| Depends | R (>= 3.2.0) |
| Imports | igraph |
| System Requirements | |
| URL |
See More
| Suggests | knitr, RUnit, BiocGenerics |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | CausalR_1.34.0.tar.gz |
| Windows Binary | CausalR_1.34.0.zip |
| macOS Binary (x86_64) | CausalR_1.34.0.tgz |
| macOS Binary (arm64) | CausalR_1.34.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/CausalR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CausalR |
| Bioc Package Browser | https://code.bioconductor.org/browse/CausalR/ |
| Package Short Url | https://bioconductor.org/packages/CausalR/ |
| Package Downloads Report | Download Stats |