lgc-package |
Log-gaussian cox processes |

.lgc_control |
Control parameters for fitlgc. |

activateOptMethods |
Turn on optimized sparse matrix construction (Only relevant for very large models). |

covStructFormula |
Formula interface to covStructs. |

fitlgc |
Fit Log Gaussian (Cox) model using formula interface. Can handle both count observations and/or direct oberservations of the Log Gaussian process. The latent field is integrated out using the Laplace approximation. Fixed effects are estimated using a REML criterion. |

gridConstruct |
Construct a grid based on observation locations. |

gridFactor |
Construct a grid based on observation locations. |

gridFilter |
Construct a grid based on observation locations. |

gridLocate |
Construct a grid based on observation locations. |

lgc |
Log-gaussian cox processes |

LRtest |
Likelihood ratio tests of nested models. |

rstandard.fitlgc |
Simulation based residuals for goodness of fit. |

sepGMRFpredict |
Prediction for GMRF with separable covariance structure on d-dim lattice. |

simulate.fitlgc |
LGC simulation. |