calcQF |
Calculate the Gaussian quadratic form for the NNGP approximation |

calculateAD_ns |
Calculate A and D matrices for the NNGP approximation |

calculateU_ns |
Calculate the (sparse) matrix U |

conditionLatentObs |
Assign conditioning sets for the SGV approximation |

determineNeighbors |
Determine the k-nearest neighbors for each spatial coordinate. |

dmnorm_nngp |
Function for the evaluating the NNGP approximate density. |

dmnorm_sgv |
Function for the evaluating the SGV approximate density. |

inverseEigen |
Calculate covariance elements based on eigendecomposition components |

matern_corr |
Calculate a stationary Matern correlation matrix |

nimble_sparse_chol |
nimble_sparse_chol |

nimble_sparse_crossprod |
nimble_sparse_crossprod |

nimble_sparse_solve |
nimble_sparse_solve |

nimble_sparse_tcrossprod |
nimble_sparse_tcrossprod |

nsCorr |
Calculate a nonstationary Matern correlation matrix |

nsCrosscorr |
Calculate a nonstationary Matern cross-correlation matrix |

nsCrossdist |
Calculate coordinate-specific cross-distance matrices |

nsCrossdist3d |
Calculate coordinate-specific cross-distance matrices, only for nearest neighbors and store in an array |

nsDist |
Calculate coordinate-specific distance matrices |

nsDist3d |
Calculate coordinate-specific distance matrices, only for nearest neighbors and store in an array |

nsgpModel |
NIMBLE code for a generic nonstationary GP model |

nsgpPredict |
Posterior prediction for the NSGP |

orderCoordinatesMMD |
Order coordinates according to a maximum-minimum distance criterion. |

rmnorm_nngp |
Function for the evaluating the NNGP approximate density. |

rmnorm_sgv |
Function for the evaluating the SGV approximate density. |

R_sparse_chol |
R_sparse_chol |

R_sparse_crossprod |
nimble_sparse_crossprod |

R_sparse_solve |
nimble_sparse_solve |

R_sparse_tcrossprod |
nimble_sparse_tcrossprod |

sgvSetup |
One-time setup wrapper function for the SGV approximation |