https://github.com/vdorie/bartCause

Causal Inference using Bayesian Additive Regression Trees
https://github.com/vdorie/bartCause

Last synced: about 2 months ago
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Causal Inference using Bayesian Additive Regression Trees

• Host: GitHub
• URL: https://github.com/vdorie/bartCause
• Owner: vdorie
• Created: 2018-01-11T18:08:42.000Z (over 6 years ago)
• Default Branch: main
• Last Pushed: 2024-05-01T22:43:35.000Z (5 months ago)
• Last Synced: 2024-07-07T07:23:35.336Z (3 months ago)
• Language: R
• Size: 220 KB
• Stars: 71
• Watchers: 10
• Forks: 10
• Open Issues: 12
• Metadata Files:
  • Readme: README.md

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README

        
bartCause

=========

Causal Inference using Bayesian Additive Regression Trees

An `R` package fitting a collection of treatment and response models using the Bayesian Additive Regresssion Trees (BART) algorithm and producing estimates of treatment effects.

The main way to install the package is by using [CRAN](https://cran.r-project.org/package=bartCause)'s distribution. It can be installed from within R using the typical `install.packages()` mechanism.

Steps to install from source:

1. Install the `remotes` package from within R:

```R

install.packages("remotes")

```

2. Run:

```R

remotes::install_github("vdorie/bartCause")

```