Package: MRPC
Type: Package
Version: 2.2.0
Date: 2019-11-15
Title: PC Algorithm with the Principle of Mendelian Randomization
Author: Md Bahadur Badsha [aut,cre],Evan A Martin [ctb] and Audrey Qiuyan Fu [aut]
Maintainer: Md Bahadur Badsha <mdbadsha@uidaho.edu>
Description: 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>. 
License: GPL (>= 2)
Depends: R (>= 3.0)
LazyData: TRUE
Imports:
        bnlearn,compositions,dynamicTreeCut,GGally,fastcluster,gtools,graph,graphics,Hmisc,methods,mice,
        network,pcalg,psych,Rgraphviz,stats,sna,utils,WGCNA
NeedsCompilation: no
Packaged: 2019-11-15 23:40:17 UTC; mdbadsha
Repository: CRAN
Date/Publication: 2019-11-16 05:20:03 UTC
Built: R 4.1.0; ; 2020-08-03 15:42:47 UTC; windows
