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 |