Package: stan4bart 0.0-10

stan4bart: Bayesian Additive Regression Trees with Stan-Sampled Parametric Extensions

Fits semiparametric linear and multilevel models with non-parametric additive Bayesian additive regression tree (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) components and Stan (Stan Development Team (2021) <https://mc-stan.org/>) sampled parametric ones. Multilevel models can be expressed using 'lme4' syntax (Bates, Maechler, Bolker, and Walker (2015) <doi:10.18637/jss.v067.i01>).

Authors:Vincent Dorie [aut, cre], Ben Goodrich [ctb], Jonah Gabry [ctb], Imad Ali [ctb], Sam Brilleman [ctb], Paul-Christian Burkner [ctb], Joshua Pritikin [ctb], Andrew Gelman [ctb], Bob Carpenter [ctb], Matt Hoffman [ctb], Daniel Lee [ctb], Michael Betancourt [ctb], Marcus Brubaker [ctb], Jiqiang Guo [ctb], Peter Li [ctb], Allen Riddell [ctb], Marco Inacio [ctb], Mitzi Morris [ctb], Jeffrey Arnold [ctb], Rob Goedman [ctb], Brian Lau [ctb], Rob Trangucci [ctb], Alp Kucukelbir [ctb], Robert Grant [ctb], Dustin Tran [ctb], Michael Malecki [ctb], Yuanjun Gao [ctb], Trustees of Columbia University [cph], Lawrence Livermore National Security [cph], The Regents of the University of California [cph], Southern Methodist University [cph], Douglas Bates [ctb], Martin Maechler [ctb], Ben Bolker [ctb], Steve Walker [ctb], Armon Dadgar [ctb], Bothner Per [ctb], Elliston Ben [ctb], Free Software Foundation [cph], Guido U Draheim [ctb], Maarten Bosmans [ctb], Christophe Tournayre [ctb], Michael Petch [ctb], Rafael de Lucena Valle [ctb], Steven G. Johnson [ctb], Matteo Frigo [ctb], Scott Pakin [ctb]