MRPC: PC Algorithm with the Principle of Mendelian Randomization

A PC Algorithm with the Principle of Mendelian Randomization. This package implements the MRPC (PC with the principle of Mendelian randomization) algorithm to infer causal graphs. It also contains functions to simulate data under a certain topology, to visualize a graph in different ways, and to compare graphs and quantify the differences. See Badsha and Fu (2019) <doi:10.3389/fgene.2019.00460>,Badsha, Martin and Fu (2021) <doi:10.3389/fgene.2021.651812>.

Version: 3.1.0
Depends: R (≥ 4.0)
Imports: bnlearn, compositions, dynamicTreeCut, GGally, fastcluster, gtools, graph, graphics, Hmisc, methods, mice, network, pcalg, psych, Rgraphviz, stats, sna, utils, WGCNA, plyr
Published: 2022-04-11
DOI: 10.32614/CRAN.package.MRPC
Author: Md Bahadur Badsha [aut,cre],Evan A Martin [ctb] and Audrey Qiuyan Fu [aut]
Maintainer: Audrey Fu <audreyqyfu at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
In views: CausalInference
CRAN checks: MRPC results


Reference manual: MRPC.pdf


Package source: MRPC_3.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MRPC_3.1.0.tgz, r-oldrel (arm64): MRPC_3.1.0.tgz, r-release (x86_64): MRPC_3.1.0.tgz, r-oldrel (x86_64): MRPC_3.1.0.tgz
Old sources: MRPC archive


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