## LearnBayes

swMATH ID: | 4495 |

Software Authors: | Jim Albert |

Description: | LearnBayes: Functions for Learning Bayesian Inference , LearnBayes contains 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. |

Homepage: | http://cran.r-project.org/web/packages/LearnBayes/ |

Operating Systems: | UNIX, Linux, Windows, MacOS X |

Dependencies: | R |

Keywords: | Bayes; distributions; MCMC; regression model; hierarchical model; Bayesian test; illustration of Gibbs sampling |

Related Software: | R; R2WinBUGS; WinBUGS; kinship2; BayesVarSel; plyr; glmnet; Mcmcpack; SemiPar; mvtnorm; SAS; ggplot2; foreign; MASS (R); SPSS; gbs; TeachingDemos; robustbase; KernSmooth; AGS |

Referenced in: | 6 Publications |

all
top 5

### Referenced by 15 Authors

### Referenced in 5 Serials

2 | Journal of Computational and Graphical Statistics |

1 | Computational Statistics |

1 | Test |

1 | Use R! |

1 | Chapman & Hall/CRC Texts in Statistical Science Series |

### Referenced in 3 Fields

6 | Statistics (62-XX) |

2 | Numerical analysis (65-XX) |

1 | Biology and other natural sciences (92-XX) |