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.org/10.3389/fgene.2019.00460>,Badsha, Martin and Fu (2018) <arXiv:1806.01899>.

Version: 2.2.0
Depends: R (≥ 3.0)
Imports: bnlearn, compositions, dynamicTreeCut, GGally, fastcluster, gtools, graph, graphics, Hmisc, methods, mice, network, pcalg, psych, Rgraphviz, stats, sna, utils, WGCNA
Published: 2019-11-16
Author: Md Bahadur Badsha [aut,cre],Evan A Martin [ctb] and Audrey Qiuyan Fu [aut]
Maintainer: Md Bahadur Badsha <mdbadsha at uidaho.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: MRPC results

Downloads:

Reference manual: MRPC.pdf
Package source: MRPC_2.2.0.tar.gz
Windows binaries: r-devel: MRPC_2.2.0.zip, r-devel-gcc8: MRPC_2.2.0.zip, r-release: MRPC_2.2.0.zip, r-oldrel: MRPC_2.2.0.zip
OS X binaries: r-release: not available, r-oldrel: MRPC_2.2.0.tgz
Old sources: MRPC archive

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