Scalable Bayesian Disease Mapping Models for High-Dimensional Data

add_neighbour | Add isolated areas (polygons) to its nearest neighbour |

bigDM-package | Scalable Bayesian Disease Mapping Models for High-Dimensional... |

CAR_INLA | Fit a (scalable) spatial Poisson mixed model to areal count... |

Carto_SpainMUN | Spanish colorectal cancer mortality data |

clustering_partition | Obtain a partition of the spatial domain using the... |

connect_subgraphs | Merge disjoint connected subgraphs |

Data_LungCancer | Spanish lung cancer mortality data |

Data_MultiCancer | Spanish cancer mortality data for the joint analysis of... |

divide_carto | Divide the spatial domain into subregions |

MCAR_INLA | Fit a (scalable) spatial multivariate Poisson mixed model to... |

mergeINLA | Merge 'inla' objects for partition models |

Mmodel_compute_cor | Compute correlation coefficients between diseases |

Mmodel_icar | Intrinsic multivariate CAR latent effect |

Mmodel_iid | Spatially non-structured multivariate latent effect |

Mmodel_lcar | Leroux et al. (1999) multivariate CAR latent effect |

Mmodel_pcar | Proper multivariate CAR latent effect |

random_partition | Define a random partition of the spatial domain based on a... |

STCAR_INLA | Fit a (scalable) spatio-temporal Poisson mixed model to areal... |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.