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bartCause  

Causal Inference using Bayesian Additive Regression Trees
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bartCause", "1.0-10")



Attach the package and use:
library("bartCause")
Maintained by
Vincent Dorie
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-02
Latest Update: 2024-09-16
Description:
Contains a variety of methods to generate typical causal inference estimates using Bayesian Additive Regression Trees (BART) as the underlying regression model (Hill (2012) ).
How to cite:
Vincent Dorie (2020). bartCause: Causal Inference using Bayesian Additive Regression Trees. R package version 1.0-10, https://cran.r-project.org/web/packages/bartCause. Accessed 27 Jun. 2026.
Previous versions and publish date:
1.0-2 (2020-04-02 18:20), 1.0-3 (2020-06-15 23:50), 1.0-4 (2020-08-10 13:20), 1.0-6 (2023-01-23 20:40), 1.0-8 (2024-05-02 01:24), 1.0-9 (2024-09-16 21:40)
Other packages that cited bartCause R package
View bartCause citation profile
Other R packages that bartCause depends, imports, suggests or enhances
Complete documentation for bartCause
Functions, R codes and Examples using the bartCause R package
Some associated functions: bartc . generics . plot . summary . 
Some associated R codes: argParse.R . bartc.R . bayesOpt.R . commonSupport.R . generics.R . hpdint.R . multipleAssignment.R . plot.R . responseFit.R . summary.R . tmle.R . treatmentFit.R . utility.R .  Full bartCause package functions and examples
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