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Bayesian Addictive Regression Trees (BART) R bookdown

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Bayesian Additive Regression Trees (BART) bookdown

Link:

https://wx-zhu.github.io/BART_bookdown/

Introduction

This repository contains the code and materials for the "Bayesian Additive Regression Trees (BART)" bookdown. BART is a powerful machine learning technique that combines the flexibility of decision trees with Bayesian modeling principles.

In this bookdown, we covered the methodology behind BART and some coding examples using dbart and bartMan packages.

Authors

This project is created by Jingyi Guan, Alayna Johnson, and Wenxuan Zhu.

Feel free to reach out to us with any questions, feedback, or typos you may find. :)

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