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
Depends: R (≥ 2.10), logistf
Imports: Rcpp (≥ 0.12.14), pcalg, mgm, bnlearn, methods, nnet
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-03-13
Author: Wujuan Zhong, Li Dong
Maintainer: Wujuan Zhong <zhongwujuan at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: mDAG results

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Reference manual: mDAG.pdf
Package source: mDAG_1.2.tar.gz
Windows binaries: r-devel: mDAG_1.2.zip, r-release: mDAG_1.2.zip, r-oldrel: mDAG_1.2.zip
OS X binaries: r-release: not available, r-oldrel: mDAG_1.2.tgz
Old sources: mDAG archive

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