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BCDAG  

Bayesian Structure and Causal Learning of Gaussian Directed Graphs
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BCDAG", "1.1.3")



Attach the package and use:
library("BCDAG")
Maintained by
Alessandro Mascaro
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-15
Latest Update: 2025-02-28
Description:
A collection of functions for structure learning of causal networks and estimation of joint causal effects from observational Gaussian data. Main algorithm consists of a Markov chain Monte Carlo scheme for posterior inference of causal structures, parameters and causal effects between variables. References: F. Castelletti and A. Mascaro (2021) , F. Castelletti and A. Mascaro (2022) .
How to cite:
Alessandro Mascaro (2022). BCDAG: Bayesian Structure and Causal Learning of Gaussian Directed Graphs. R package version 1.1.3, https://cran.r-project.org/web/packages/BCDAG. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.0 (2022-03-15 20:00), 1.1.0 (2024-02-10 01:00), 1.1.1 (2024-06-14 15:10), 1.1.2 (2025-01-30 17:30), 1.1.3 (2025-02-28 12:00)
Other packages that cited BCDAG R package
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Complete documentation for BCDAG
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