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 [issues need fixing before 2025-09-01] Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=MRPC to link to this page.
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