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