dbarts (0.9-5)

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Discrete Bayesian Additive Regression Trees Sampler.


Fits Bayesian additive regression trees (BART; Chipman, George, and McCulloch (2010) ) 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'.

Maintainer: Vincent Dorie Developer
Author(s): Vincent Dorie [aut, cre], Hugh Chipman [aut], Robert McCulloch [aut]

License: GPL (>= 2)

Uses: testthat
Reverse suggests: SuperLearner

Released about 1 month ago.

7 previous versions



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