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BayesTreePrior  

Bayesian Tree Prior Simulation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesTreePrior", "1.0.1")



Attach the package and use:
library("BayesTreePrior")
Maintained by
Alexia Jolicoeur-Martineau
[Scholar Profile | Author Map]
First Published: 2016-04-18
Latest Update: 2016-07-04
Description:
Provides a way to simulate from the prior distribution of Bayesian trees by Chipman et al. (1998) . The prior distribution of Bayesian trees is highly dependent on the design matrix X, therefore using the suggested hyperparameters by Chipman et al. (1998) is not recommended and could lead to unexpected prior distribution. This work is part of my master thesis (expected 2016).
How to cite:
Alexia Jolicoeur-Martineau (2016). BayesTreePrior: Bayesian Tree Prior Simulation. R package version 1.0.1, https://cran.r-project.org/web/packages/BayesTreePrior. Accessed 10 Apr. 2025.
Previous versions and publish date:
1.0 (2016-04-18 08:45)
Other packages that cited BayesTreePrior R package
View BayesTreePrior citation profile
Other R packages that BayesTreePrior depends, imports, suggests or enhances
Complete documentation for BayesTreePrior
Functions, R codes and Examples using the BayesTreePrior R package
Some associated functions: BayesTreePrior . BayesTreePriorNotOrthogonal . BayesTreePriorOrthogonal . BayesTreePriorOrthogonalInf . E_alpha . GetListUniqueSplits . NumBotMaxDepth . NumBotMaxDepthX . NumBotMaxDepth_inf . Var_alpha . p_split . 
Some associated R codes: BayesTreePrior.R .  Full BayesTreePrior package functions and examples
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