ebprado

MOTR-BART

R scripts and data sets that can be used to reproduce the results presented in the paper "Bayesian additive regression trees with model trees". Statistics and Computing 31, 20 (2021).

AMBARTI

R scripts to reproduce the results presented in the paper "Bayesian additive regression trees for genotype by environment interaction models". The Annals of Applied Statistics 17 (3) (2023).

CSP-BART

R scripts and data sets that can be used to reproduce the results presented in the paper "Accounting for shared covariates in semi-parametric Bayesian additive regression trees".

BCF-discussion-paper

R scripts to run the simulation results of the discussion paper "Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects" (Hahn et al, 2020)

Bayesian-clustering

Implementation in R of Finite Mixture of Normals and Product Partition models

Data-manipulation-in-SAS

SAS scripts for data manipulation

dbarts

Discrete Bayesian Additive Regression Trees Sampler

ebprado

ExtensionsBART

Implementation of some extensions to BART

semibart

R package for Bayesian semiparametric regression and structural mean models

MH-with-flexible-sub-sampling

Python scripts and data sets that can be used to reproduce the results presented in the paper "Metropolis-Hastings with fast, flexible sub-sampling".

MOTR-BART-for-treatment-effects

This repository contains R scripts and synthetic data sets that can be used to fit the MOTR-BART (Prado et al., 2021) for treatment effects.