Functions to performs Bayesian regression model with mixture of two scaled inverse chi square as hyperprior distribution for variance of each regression coefficient.

Author | Renato Rodrigues Silva |

Date of publication | 2016-04-04 23:58:49 |

Maintainer | Renato Rodrigues Silva <renato.rrsilva@ufg.br> |

License | GPL-3 |

Version | 1.0 |

**bayesModel.fit:** Bayesian regression model with mixture of two scaled inverse...

**example:** example dataset

**get.scale.bayesH:** Get the vector of the scale hyperparameter

**plot.BayesH:** Plots observed versus predicted values

**predict.BayesH:** Make Predictions

**summary.BayesH:** Summary

**X:** Incidence Matrix

**y:** Vector of observations for the example dataset

BayesH

BayesH/COPYING

BayesH/src

BayesH/src/Makevars

BayesH/src/util.c

BayesH/src/bayesRidge.c

BayesH/src/util.h

BayesH/src/bayesH.c

BayesH/NAMESPACE

BayesH/data

BayesH/data/example.RData

BayesH/data/datalist

BayesH/R

BayesH/R/BayesHMethods.R
BayesH/R/BayesH.R
BayesH/R/get.scale.R
BayesH/MD5

BayesH/DESCRIPTION

BayesH/man

BayesH/man/predict.BayesH.Rd
BayesH/man/y.Rd
BayesH/man/bayesModel.fit.Rd
BayesH/man/get.scale.bayesH.Rd
BayesH/man/plot.BayesH.Rd
BayesH/man/summary.BayesH.Rd
BayesH/man/example.Rd
BayesH/man/X.Rd
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