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 gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
README |
| In views: |
CausalInference |
| CRAN checks: |
MRPC results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=MRPC
to link to this page.