Maintainer: Stephanie van der Pas <s.l.vanderpas@amsterdamumc.nl>
Packaged: 2021-03-12 15:53:58 UTC; stephanie

Description: Provides tools for conducting Bayesian analyses. The package contains
functions for creating a wide range of prior distribution objects, mixing posterior
samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc...
The tools for working with prior distribution span from visualization, generating 'JAGS'
and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.
person("František", "Bartoš",     role = c("aut", "cre"),
Imports: graphics, extraDistr, runjags, coda, bridgesampling, parallel,
Suggests: ggplot2, scales, testthat, vdiffr, covr, rjags
Author: František Bartoš [aut, cre] (<https://orcid.org/0000-0002-0018-5573>)

Suggests: scales, testthat, vdiffr, covr, rjags, rstan

SystemRequirements: JAGS >= 4.3.0 (https://mcmc-jags.sourceforge.io/)
Imports: graphics, extraDistr, mvtnorm, rjags, runjags, coda,
Suggests: scales, testthat, vdiffr, covr, knitr, rstan, BayesFactor,

Imports: graphics, extraDistr, mvtnorm, coda, bridgesampling, parallel,
Suggests: scales, testthat, vdiffr, covr, knitr, rstan, rjags, runjags,

Imports: graphics, extraDistr, mvtnorm, runjags, coda, bridgesampling,

Title: Bayesian Methods for Tree Based Models
Author: Hugh Chipman, Robert McCulloch <robert.mcculloch@gsb.uchicago.edu>
Description: see Bayesian Additive Regression Trees, Chipman, George, McCulloch (2005) at the URL

Author: Hugh Chipman <hugh.chipman@acadiau.ca>, Robert McCulloch <robert.mcculloch@chicagogsb.edu>
Description: Implementation of BART:Bayesian Additive Regression Trees, Chipman, George, McCulloch (2006)

Author: Hugh Chipman <hugh.chipman@gmail.com>, Robert McCulloch
Description: Implementation of BART:Bayesian Additive Regression Trees,

Description: This is an implementation of BART:Bayesian Additive Regression Trees,

Description: 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).
Suggests: tgp, BayesTree, bartMachine, MASS