mDAG: Inferring Causal Network from Mixed Observational Data Using a Directed Acyclic Graph

Learning a mixed directed acyclic graph based on both continuous and categorical data.

Version:	1.2.2
Depends:	R (≥ 2.10), logistf
Imports:	Rcpp (≥ 0.12.14), pcalg, mgm, bnlearn, methods, nnet
LinkingTo:	Rcpp, RcppArmadillo
Published:	2019-08-20
Author:	Wujuan Zhong, Li Dong, Quefeng Li, Xiaojing Zheng
Maintainer:	Wujuan Zhong <zhongwujuan at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	mDAG results

Documentation:

Reference manual:

mDAG.pdf

Downloads:

Package source:	mDAG_1.2.2.tar.gz
Windows binaries:	r-devel: mDAG_1.2.2.zip, r-release: mDAG_1.2.2.zip, r-oldrel: mDAG_1.2.2.zip
macOS binaries:	r-release (arm64): mDAG_1.2.2.tgz, r-oldrel (arm64): mDAG_1.2.2.tgz, r-release (x86_64): mDAG_1.2.2.tgz, r-oldrel (x86_64): mDAG_1.2.2.tgz
Old sources:	mDAG archive

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