Description: This work is an extension of the state space model for Poisson count data, Poisson-Gamma model, towards a semiparametric specification. Just like the generalized additive models (GAM), cubic splines are used for covariate smoothing. The semiparametric models are fitted by an iterative process that combines maximization of likelihood and backfitting algorithm.

Packaged: Sat Mar  5 23:18:51 2005; wjunger

Packaged: Wed May  4 13:41:40 2005; wjunger

Packaged: Tue Oct  4 17:56:37 2005; wjunger

Packaged: Thu May 11 19:22:01 2006; wjunger

Packaged: Fri Sep 22 21:55:33 2006; wjunger

Packaged: Tue Apr 17 19:04:58 2007; wjunger

Packaged: Mon Dec 17 20:30:47 2007; wjunger

Title: Bayesian Additive Regression Trees Using Particle Gibbs Sampler
Authors@R: c(person("Pingyu","Wang", role = c("aut", "cre"),email = "applewangpingyu@gmail.com"),
person("Dai","Feng", role = "aut",email = "dai_feng@merck.com"),
person("Yang","Bai",  role = "aut",email = "by0132@live.cn"),
person("Qiuyue","Shi", role = "aut",email = "shiqiuyue@bupt.edu.cn"),
person("Zhicheng","Zhao", role = "aut",email = "zhaozc@bupt.edu.cn"),
person("Fei","Su", role = "aut",email = "sufei@bupt.edu.cn"),
person("Hugh","Chipman", role = "aut",email = "hugh.chipman@gmail.com"),
person("Robert","McCulloch", role = "aut",email = "robert.e.mcculloch@gmail.com"))
Description: The Particle Gibbs sampler and Gibbs/Metropolis-Hastings sampler were implemented
to fit Bayesian additive regression tree model. Construction of the model (training) and prediction
for a new data set (testing) can be separated. Our reference paper is:
Lakshminarayanan B, Roy D, Teh Y W. Particle Gibbs for Bayesian additive regression trees[C],
Artificial Intelligence and Statistics. 2015: 553-561,

for a new data set (testing) can be separated. Our reference papers are:
and Chipman, H., George, E., and McCulloch R. (2010) Bayesian Additive Regression Trees. The Annals of Applied Statistics, 4,1, 266-298, <https://doi.org/10.1214/09-aoas285>.

and Chipman, H., George, E., and McCulloch R. (2010) Bayesian Additive Regression Trees. The Annals of Applied Statistics, 4,1, 266-298, <doi:10.1214/09-aoas285>.