bartMachine

swMATH10962CRANbartMachineMaRDI QIDQ22914

Bayesian Additive Regression Trees

Adam Kapelner

Last update: 6 July 2023

Copyright license: GNU General Public License, version 3.0

Software version identifier: 1.3.3.1, 1.0.1, 1.0.2, 1.0.4, 1.0, 1.1.1, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.2.4.1, 1.2.4.2, 1.2.4, 1.2.5.1, 1.2.5, 1.2.6, 1.2.7, 1.3.2, 1.3.3, 1.3.4, 1.3, 1.3.4.1

Source code repository: https://github.com/cran/bartMachine

Description

An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.

Described by source

• Variable selection for BART: an application to gene regulation
• Prediction with missing data via Bayesian Additive Regression Trees

Related Items (13)

Do German economic research institutes publish efficient growth and inflation forecasts? A Bayesian analysis ⋮ Statistical Learning from a Regression Perspective ⋮ Bayesian additive regression trees in spatial data analysis with sparse observations ⋮ BiMM tree: a decision tree method for modeling clustered and longitudinal binary outcomes ⋮ Modeling threshold interaction effects through the logistic classification trunk ⋮ Bayesian additive regression trees using Bayesian model averaging ⋮ Discovering interactions using covariate informed random partition models ⋮ Clustering and Prediction With Variable Dimension Covariates ⋮ EnsembleBase ⋮ iBART ⋮ Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection ⋮ A Semiparametric Bayesian Approach to Dropout in Longitudinal Studies With Auxiliary Covariates ⋮ Learning algorithms to evaluate forensic glass evidence

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