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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).
| Version: | 1.0.1 |
| Imports: | stats |
| Suggests: | tgp, BayesTree, bartMachine, MASS |
| Published: | 2016-07-04 |
| DOI: | 10.32614/CRAN.package.BayesTreePrior |
| Author: | Alexia Jolicoeur-Martineau |
| Maintainer: | Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau at mail.mcgill.ca> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | BayesTreePrior results |
| Reference manual: | BayesTreePrior.pdf |
| Package source: | BayesTreePrior_1.0.1.tar.gz |
| Windows binaries: | r-devel: BayesTreePrior_1.0.1.zip, r-release: BayesTreePrior_1.0.1.zip, r-oldrel: BayesTreePrior_1.0.1.zip |
| macOS binaries: | r-release (arm64): BayesTreePrior_1.0.1.tgz, r-oldrel (arm64): BayesTreePrior_1.0.1.tgz, r-release (x86_64): BayesTreePrior_1.0.1.tgz, r-oldrel (x86_64): BayesTreePrior_1.0.1.tgz |
| Old sources: | BayesTreePrior archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.