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 |
| 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_2.0.0.zip |
| OS X binaries: | r-release: MRPC_2.0.0.tgz, r-oldrel: not available |
| Old sources: | MRPC archive |
Please use the canonical form https://CRAN.R-project.org/package=MRPC to link to this page.