Package: mDAG 1.2.3

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.

Authors:Wujuan Zhong [aut, cre], Li Dong [aut], Quefeng Li [aut], Xiaojing Zheng [aut]

mDAG_1.2.3.tar.gz
mDAG_1.2.3.zip(r-4.7)mDAG_1.2.3.zip(r-4.6)mDAG_1.2.3.zip(r-4.5)
mDAG_1.2.3.tgz(r-4.6-x86_64)mDAG_1.2.3.tgz(r-4.6-arm64)mDAG_1.2.3.tgz(r-4.5-x86_64)mDAG_1.2.3.tgz(r-4.5-arm64)
mDAG_1.2.3.tar.gz(r-4.7-arm64)mDAG_1.2.3.tar.gz(r-4.7-x86_64)mDAG_1.2.3.tar.gz(r-4.6-arm64)mDAG_1.2.3.tar.gz(r-4.6-x86_64)
mDAG_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
mDAG/json (API)

# Install 'mDAG' in R:
install.packages('mDAG', repos = c('https://wjzhong.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.30 score 5 scripts 244 downloads 2 mentions 1 exports 144 dependencies

Last updated from:d80cd66fa3. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK216
linux-devel-x86_64OK208
source / vignettesOK291
linux-release-arm64OK246
linux-release-x86_64OK336
macos-release-arm64OK222
macos-release-x86_64OK450
macos-oldrel-arm64OK205
macos-oldrel-x86_64OK308
windows-develOK218
windows-releaseOK200
windows-oldrelOK218
wasm-releaseOK226

Exports:mDAG

Dependencies:abindbackportsbase64encbdsmatrixBHBiocGenericsBiocManagerbitbit64bnlearnbootbroombslibcachemcheckmateclicliprclueclustercodetoolscolorspacecorpcorcpp11crayondata.tableDEoptimRdigestdplyrevaluatefarverfastICAfastmapfdrtoolfontawesomeforcatsforeachforeignFormulaformula.toolsfsgenericsggmggplot2glassoglmnetglueGPArotationgraphgridExtragtablegtoolshavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsigraphisobanditeratorsjomojpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclelme4lmtestlogistfmagrittrMASSMatrixmemoisemgcvmgmmicemimeminqamitmlmnormtnlmenloptrnnetnumDerivoperator.toolsordinalpanpbapplypbivnormpcalgpillarpkgconfigplyrpngprettyunitsprogresspsychpurrrqgraphquadprogR6rappdirsRBGLrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasreshape2rlangrmarkdownrobustbaserpartrstudioapiS7sassscalessfsmiscshapestringistringrsurvivaltibbletidyrtidyselecttinytextzdbucminfutf8vcdvctrsviridisLitevroomwithrxfunyamlzoo