bsreg-package |
Bayesian Spatial Regression Models |

as.mcmc.bm |
Methods for 'coda' Markov chain Monte Carlo objects |

blm |
Fit a Bayesian model |

bm |
Fit a Bayesian model |

bm.bm |
Fit a Bayesian model |

bm.formula |
Fit a Bayesian model |

bsar |
Fit a Bayesian model |

bsdem |
Fit a Bayesian model |

bsdm |
Fit a Bayesian model |

bsem |
Fit a Bayesian model |

bslx |
Fit a Bayesian model |

bsv |
Fit a Bayesian model |

burn |
Burn-in and tune a Bayesian model sampler |

cigarettes |
Cigarette demand |

coda |
Methods for 'coda' Markov chain Monte Carlo objects |

sample |
Obtain draws from a Bayesian model sampler |

set_HS |
Set up a Normal-Gamma prior |

set_mh |
Settings to tune a Metropolis-Hastings step |

set_NG |
Set up a Normal-Gamma prior |

set_options |
Set up Bayesian model priors and settings |

set_SAR |
Set up a spatial prior |

set_SEM |
Set up a spatial prior |

set_SLX |
Set up a spatial prior |

set_SNG |
Set up a Normal-Gamma prior |

set_SV |
Set up a volatility prior |

tune |
Burn-in and tune a Bayesian model sampler |

us_states |
United States Historical States |