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https://github.com/tsrobinson/cjbart

Heterogeneous effects analysis of conjoint experiments using BART
https://github.com/tsrobinson/cjbart

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Heterogeneous effects analysis of conjoint experiments using BART

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README

        

---
output: github_document
---

```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
out.width = "100%"
)
```

# cjbart

[![CRAN status](https://www.r-pkg.org/badges/version/cjbart)](https://CRAN.R-project.org/package=cjbart)
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[![R-CMD-check](https://github.com/tsrobinson/cjbart/workflows/R-CMD-check/badge.svg)](https://github.com/tsrobinson/cjbart/actions)
[![R-CMD-check](https://github.com/tsrobinson/cjbart/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tsrobinson/cjbart/actions/workflows/R-CMD-check.yaml)

## Overview

**cjbart** is an R package for analyzing conjoint experiments using Bayesian Additive Regression Trees (BART), specifically focusing on inspecting heterogeneous treatment effects.

This package is in its early stages of development, and core functionality is liable to change.

## Installation

The latest development version of **cjbart** can be installed directly from this repository, using the following code:

```{r, eval = FALSE}
# install.packages("devtools")
devtools::install_github("tsrobinson/cjbart")
```

## Getting help

If you come across any issues, or have any suggestions for improvements, please raise an issue [here](https://github.com/tsrobinson/cjbart/issues).