CARBayes-package |
Spatial Generalised Linear Mixed Models for Areal Unit Data |

CARBayes |
Spatial Generalised Linear Mixed Models for Areal Unit Data |

coef.CARBayes |
Extract the regression coefficients from a model. |

combine.data.shapefile |
Combines a data frame with a shapefile to create a SpatialPolygonsDataFrame object. |

fitted.CARBayes |
Extract the fitted values from a model. |

highlight.borders |
Creates a SpatialPoints object identifying a subset of borders between neighbouring areas. |

logLik.CARBayes |
Extract the estimated loglikelihood from a fitted model. |

model.matrix.CARBayes |
Extract the model (design) matrix from a model. |

MVS.CARleroux |
Fit a multivariate spatial generalised linear mixed model to data, where the random effects are modelled by a multivariate conditional autoregressive model. |

print.CARBayes |
Print a summary of a fitted CARBayes model to the screen. |

residuals.CARBayes |
Extract the residuals from a model. |

S.CARbym |
Fit a spatial generalised linear mixed model to data, where the random effects have a BYM conditional autoregressive prior. |

S.CARdissimilarity |
Fit a spatial generalised linear mixed model to data, where the random effects have a localised conditional autoregressive prior. |

S.CARleroux |
Fit a spatial generalised linear mixed model to data, where the random effects have a Leroux conditional autoregressive prior. |

S.CARlocalised |
Fit a spatial generalised linear mixed model to data, where a set of spatially smooth random effects are augmented with a piecewise constant intercept process. |

S.CARmultilevel |
Fit a spatial generalised linear mixed model to multi-level areal unit data, where the spatial random effects have a Leroux conditional autoregressive prior and there are also individual or small group level random effects. |

S.glm |
Fit a generalised linear model to data. |

summarise.lincomb |
Compute the posterior distribution for a linear combination of the covariates from the linear predictor. |

summarise.samples |
Summarise a matrix of Markov chain Monte Carlo samples. |