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stan4bart
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.stan4bart . https://github.com/vdorie/stan4bart/issues . https://github.com/vdorie/stan4bart . stan4bart results . stan4bart.pdf . stan4bart_0.0-10.tar.gz . stan4bart_0.0-10.zip . stan4bart_0.0-10.zip . stan4bart_0.0-10.zip . stan4bart_0.0-10.tgz . stan4bart_0.0-10.tgz . stan4bart_0.0-10.tgz . stan4bart_0.0-10.tgz . stan4bart archive . https://CRAN.R-project.org/package=stan4bart .
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 Apr. 2025.
Previous versions and publish date:
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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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