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bcf  

Causal Inference using Bayesian Causal Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bcf", "2.0.2")



Attach the package and use:
library("bcf")
Maintained by
Jared S. Murray
[Scholar Profile | Author Map]
First Published: 2018-07-29
Latest Update: 2024-02-27
Description:
Causal inference for a binary treatment and continuous outcome using Bayesian Causal Forests. See Hahn, Murray and Carvalho (2020) for additional information. This implementation relies on code originally accompanying Pratola et. al. (2013) .
How to cite:
Jared S. Murray (2018). bcf: Causal Inference using Bayesian Causal Forests. R package version 2.0.2, https://cran.r-project.org/web/packages/bcf. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.2.1 (2018-09-20 00:20), 1.2 (2018-07-29 10:40), 1.3.1 (2023-04-05 08:42), 1.3 (2019-08-28 07:10)
Other packages that cited bcf R package
View bcf citation profile
Other R packages that bcf depends, imports, suggests or enhances
Complete documentation for bcf
Functions, R codes and Examples using the bcf R package
Some associated functions: bcf . 
Some associated R codes: RcppExports.R . bcf.R . zzz.R .  Full bcf package functions and examples
Downloads during the last 30 days
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