Package: mDAG
Type: Package
Title: Inferring Causal Network from Mixed Observational Data Using a
        Directed Acyclic Graph
Version: 1.2.3
Date: 2025-9-25
Authors@R: c(person(given = "Wujuan",
                family = "Zhong",
                role = c("aut", "cre"),
                email = "zhongwujuan@gmail.com"),
                person(given = "Li",
                family = "Dong",
                role = "aut"),
                person(given = "Quefeng",
                family = "Li",
                role = "aut"),
                person(given = "Xiaojing",
                family = "Zheng",
                role = "aut"))
Maintainer: Wujuan Zhong <zhongwujuan@gmail.com>
Description: Learning a mixed directed acyclic graph based on both
        continuous and categorical data.
LazyData: true
Encoding: UTF-8
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.14), pcalg, mgm, bnlearn, methods, nnet
Depends: R (>= 2.10), logistf
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2026-10-09 08:40:15 UTC; root
Author: Wujuan Zhong [aut, cre], Li Dong [aut], Quefeng Li [aut],
        Xiaojing Zheng [aut]
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libjpeg-dev
        libpng-dev libuv1-dev libxml2-dev libx11-dev zlib1g-dev
Repository: https://wjzhong.r-universe.dev
Date/Publication: 2025-09-26 07:30:08 UTC
RemoteUrl: https://github.com/cran/mDAG
RemoteRef: HEAD
RemoteSha: d80cd66fa30f9541113d52c35130cc8cf7405963