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mDAG  

Inferring Causal Network from Mixed Observational Data Using a Directed Acyclic Graph
View on CRAN: Click here


Download and install mDAG package within the R console
Install from CRAN:
install.packages("mDAG")

Install from Github:
library("remotes")
install_github("cran/mDAG")

Install by package version:
library("remotes")
install_version("mDAG", "1.2.3")



Attach the package and use:
library("mDAG")
Maintained by
Wujuan Zhong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-26
Latest Update: 2019-08-20
Description:
Learning a mixed directed acyclic graph based on both continuous and categorical data.
How to cite:
Wujuan Zhong (2019). mDAG: Inferring Causal Network from Mixed Observational Data Using a Directed Acyclic Graph. R package version 1.2.3, https://cran.r-project.org/web/packages/mDAG. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:27), 1.0 (2019-02-26 23:00), 1.1 (2019-03-01 22:40), 1.2.2 (2019-08-20 17:20), 1.2 (2019-03-13 19:20)
Other packages that cited mDAG R package
View mDAG citation profile
Other R packages that mDAG depends, imports, suggests or enhances
Complete documentation for mDAG
Functions, R codes and Examples using the mDAG R package
Some associated functions: example_data . mDAG . 
Some associated R codes: ConditionalTestPermute.R . PenPC_source.R . RcppExports.R . mDAG.R . main.R . multinom_BIC.R . pair_fast_mgm.R . skeletonPENstable_modified.R .  Full mDAG package functions and examples
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