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.tgz(r-4.4-x86_64)mDAG_1.2.2.tgz(r-4.4-arm64)
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.pdf |mDAG.html✨
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:

example_data - Example data

On CRAN:

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

1.30 score 3 scripts 144 downloads 2 mentions 1 exports 143 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Oct 31 2024
R-4.5-win-x86_64	NOTE	Oct 31 2024
R-4.5-linux-x86_64	NOTE	Oct 31 2024
R-4.4-win-x86_64	NOTE	Oct 31 2024
R-4.4-mac-x86_64	NOTE	Oct 31 2024
R-4.4-mac-aarch64	NOTE	Oct 31 2024

Exports:mDAG

Dependencies:abind backports base64enc bdsmatrix BH BiocGenerics BiocManager bit bit64 bnlearn boot broom bslib cachem checkmate cli clipr clue cluster codetools colorspace corpcor cpp11 crayon data.table DEoptimR digest dplyr evaluate fansi farver fastICA fastmap fdrtool fontawesome forcats foreach foreign Formula formula.tools fs generics ggm ggplot2 glasso glmnet glue GPArotation graph gridExtra gtable gtools haven highr Hmisc hms htmlTable htmltools htmlwidgets igraph isoband iterators jomo jpeg jquerylib jsonlite knitr labeling lattice lavaan lifecycle lme4 lmtest logistf magrittr MASS Matrix memoise mgcv mgm mice mime minqa mitml mnormt munsell nlme nloptr nnet numDeriv operator.tools ordinal pan pbapply pbivnorm pcalg pillar pkgconfig plyr png prettyunits progress psych purrr qgraph quadprog R6 rappdirs RBGL RColorBrewer Rcpp RcppArmadillo RcppEigen readr reshape2 rlang rmarkdown robustbase rpart rstudioapi sass scales sfsmisc shape stringi stringr survival tibble tidyr tidyselect tinytex tzdb ucminf utf8 vcd vctrs viridis viridisLite vroom withr xfun yaml zoo

Citation

Readme and manuals

Help Manual

Help page	Topics
Example data	example_data
Inferring Causal Network from Mixed Observational Data Using a Directed Acyclic Graph	mDAG

Usage by other packages (reverse dependencies)