Package: mDAG 1.2.2

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, Li Dong, Quefeng Li, Xiaojing Zheng

mDAG_1.2.2.tar.gz
mDAG_1.2.2.zip(r-4.5)mDAG_1.2.2.zip(r-4.4)mDAG_1.2.2.zip(r-4.3)
mDAG_1.2.2.tgz(r-4.4-x86_64)mDAG_1.2.2.tgz(r-4.4-arm64)mDAG_1.2.2.tgz(r-4.3-arm64)mDAG_1.2.2.tgz(r-4.3-x86_64)
mDAG_1.2.2.tar.gz(r-4.5-noble)mDAG_1.2.2.tar.gz(r-4.4-noble)
mDAG_1.2.2.tgz(r-4.4-emscripten)mDAG_1.2.2.tgz(r-4.3-emscripten)
mDAG.pdf |mDAG.html✨
mDAG/json (API)

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1 exports 0.71 score 143 dependencies 2 mentions 3 scripts 177 downloads

Last updated 5 years agofrom:407dea3694. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:mDAG

Dependencies:abindbackportsbase64encbdsmatrixBHBiocGenericsBiocManagerbitbit64bnlearnbootbroombslibcachemcheckmateclicliprclueclustercodetoolscolorspacecorpcorcpp11crayondata.tableDEoptimRdigestdplyrevaluatefansifarverfastICAfastmapfdrtoolfontawesomeforcatsforeachforeignFormulaformula.toolsfsgenericsggmggplot2glassoglmnetglueGPArotationgraphgridExtragtablegtoolshavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsigraphisobanditeratorsjomojpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclelme4lmtestlogistfmagrittrMASSMatrixmemoisemgcvmgmmicemimeminqamitmlmnormtmunsellnlmenloptrnnetnumDerivoperator.toolsordinalpanpbapplypbivnormpcalgpillarpkgconfigplyrpngprettyunitsprogresspsychpurrrqgraphquadprogR6rappdirsRBGLRColorBrewerRcppRcppArmadilloRcppEigenreadrreshape2rlangrmarkdownrobustbaserpartrstudioapisassscalessfsmiscshapestringistringrsurvivaltibbletidyrtidyselecttinytextzdbucminfutf8vcdvctrsviridisviridisLitevroomwithrxfunyamlzoo