Package: BayesTreePrior 1.0.1

BayesTreePrior: Bayesian Tree Prior Simulation

Provides a way to simulate from the prior distribution of Bayesian trees by Chipman et al. (1998) <doi:10.2307/2669832>. The prior distribution of Bayesian trees is highly dependent on the design matrix X, therefore using the suggested hyperparameters by Chipman et al. (1998) <doi:10.2307/2669832> is not recommended and could lead to unexpected prior distribution. This work is part of my master thesis (expected 2016).

Authors:Alexia Jolicoeur-Martineau <[email protected]>

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BayesTreePrior.pdf |BayesTreePrior.html
BayesTreePrior/json (API)

# Install 'BayesTreePrior' in R:
install.packages('BayesTreePrior', repos = c('https://alexiajm.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/alexiajm/bayestreeprior/issues

On CRAN:

Conda-Forge:

bayesian-treescartprior-distributionsimulationtree

3.59 score 7 stars 11 scripts 247 downloads 11 exports 0 dependencies

Last updated 8 years agofrom:0ba57f15d2. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 17 2025
R-4.5-winNOTEFeb 17 2025
R-4.5-macNOTEFeb 17 2025
R-4.5-linuxNOTEFeb 17 2025
R-4.4-winNOTEFeb 17 2025
R-4.4-macNOTEFeb 17 2025
R-4.3-winNOTEFeb 17 2025
R-4.3-macNOTEFeb 17 2025

Exports:BayesTreePriorBayesTreePriorNotOrthogonalBayesTreePriorOrthogonalBayesTreePriorOrthogonalInfE_alphaGetListUniqueSplitsNumBotMaxDepthNumBotMaxDepth_infNumBotMaxDepthXp_splitVar_alpha

Dependencies: