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dbarts: Discrete Bayesian Additive Regression Trees Sampler

Fits Bayesian additive regression trees (BART) while allowing the updating of predictors or response so that BART can be incorporated as a conditional model in a Gibbs/MH sampler. Also serves as a drop-in replacement for package BayesTree.

dbarts.pdf