MRPC: Mendelian Randomization (MR) Based PC Algorithm

Infer causal graphs using the principle of Mendelian randomization-based PC (MRPC) algorithm. See Badsha and Fu (2018) <doi:10.1101/171348>,Badsha et al. (2018) <arXiv:1806.01899>.

Version: 2.0.0
Depends: R (≥ 3.0)
Imports: bnlearn, compositions, dynamicTreeCut, GGally, fastcluster, gtools, graph, graphics, Hmisc, methods, mice, network, pcalg, Rgraphviz, stats, sna, utils, WGCNA
Published: 2018-10-13
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_2.0.0.tar.gz
Windows binaries: r-devel: MRPC_2.0.0.zip, r-release: MRPC_2.0.0.zip, r-oldrel: MRPC_1.0.0.zip
OS X binaries: r-release: MRPC_2.0.0.tgz, r-oldrel: not available
Old sources: MRPC archive

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