R Code for: Bayesian Additive Regression Trees for Circular Data: A Machine Learning Framework

Résumé fourni par la source

This repository contains the R code used in the paper "Bayesian Additive Regression Trees for Circular Data: A Machine Learning Framework" by Talal Kurdi and Saralees Nadarajah. The code implements Bayesian Additive Regression Trees (BART) methods for regression with circular data, covering three cases: Circular-Circular (CCBART), Circular-Linear (CLBART), and Linear-Circular (LCBART). The repository includes implementations of all proposed methods and their benchmarks (projected random forests and linear models), simulation study scripts for all three cases, and real data analysis scripts applied to wind direction forecasting data from London and Galicia, and human motor resonance data.