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stan4bart  

Bayesian Additive Regression Trees with Stan-Sampled Parametric Extensions
View on CRAN: Click here


Download and install stan4bart package within the R console
Install from CRAN:
install.packages("stan4bart")

Install from Github:
library("remotes")
install_github("cran/stan4bart")

Install by package version:
library("remotes")
install_version("stan4bart", "0.0-10")



Attach the package and use:
library("stan4bart")
Maintained by
Vincent Dorie
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-22
Latest Update: 2023-12-08
Description:
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>).
How to cite:
Vincent Dorie (2021). stan4bart: Bayesian Additive Regression Trees with Stan-Sampled Parametric Extensions. R package version 0.0-10, https://cran.r-project.org/web/packages/stan4bart. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.0-1 (2021-11-22 10:50), 0.0-2 (2021-12-06 18:10), 0.0-3 (2022-04-01 00:40), 0.0-5 (2023-01-23 20:40), 0.0-6 (2023-02-03 14:10), 0.0-7 (2023-12-08 15:10), 0.0-8 (2024-05-17 17:00)
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Complete documentation for stan4bart
Functions, R codes and Examples using the stan4bart R package
Some associated functions: generics . stan4bart . 
Some associated R codes: generics.R . hooks.R . lme4_functions.R . misc.R . priors.R . rstanarm_functions.R . stan4bart.R . stan4bart_fit.R . test_data.R .  Full stan4bart package functions and examples
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