The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
A collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.
| Version: | 2.15.1 |
| Published: | 2018-03-18 |
| DOI: | 10.32614/CRAN.package.LearnBayes |
| Author: | Jim Albert |
| Maintainer: | Jim Albert <albert at bgsu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | Bayesian, Distributions, Survival, TeachingStatistics |
| CRAN checks: | LearnBayes results |
| Package source: | LearnBayes_2.15.1.tar.gz |
| Windows binaries: | r-devel: LearnBayes_2.15.1.zip, r-release: LearnBayes_2.15.1.zip, r-oldrel: LearnBayes_2.15.1.zip |
| macOS binaries: | r-release (arm64): LearnBayes_2.15.1.tgz, r-oldrel (arm64): LearnBayes_2.15.1.tgz, r-release (x86_64): LearnBayes_2.15.1.tgz, r-oldrel (x86_64): LearnBayes_2.15.1.tgz |
| Old sources: | LearnBayes archive |
| Reverse depends: | bayeslongitudinal, ProbBayes, psbcGroup |
| Reverse imports: | evidence, RSSampling, spatialreg, winputall |
Please use the canonical form https://CRAN.R-project.org/package=LearnBayes to link to this page.
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.
Health stats visible at Monitor.