Cy_sm                   Calculate sparse kernel, core kernel, and
                        determine nonzero entries
NNGP.pred               Posterior predictive sampling for NNGP
RWNNGP_setup            Helper to extract NNGP local neighborhood nodes
                        for custom MCMC sampling
R_sparse_chol           R_sparse_chol
R_sparse_cholesky       R_sparse_chol
R_sparse_crossprod      nimble_sparse_crossprod
R_sparse_solve          nimble_sparse_solve
R_sparse_solveMat       nimble_sparse_crossprod
R_sparse_tcrossprod     nimble_sparse_tcrossprod
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
computeAD               Compute NNGP regression coefficients and
                        conditional variances
computeC                Construct local covariance matrix for NNGP
                        conditional distributions
computeNeighbors        Compute neighbor sets for a Nearest-Neighbor
                        Gaussian Process (NNGP)
computeQF               Compute quadratic form for NNGP log-likelihood
conditionLatentObs      Assign conditioning sets for the SGV
                        approximation
crossCy_sm              Calculate sparse kernel, core kernel, and
                        determine nonzero entries
determineNeighbors      Determine the k-nearest neighbors for each
                        spatial coordinate.
displayNeighbors        Plot neighbor sets for a Nearest-Neighbor
                        Gaussian Process (NNGP)
dmnorm_NN_GP            Compute Nearest-Neighbor Gaussian Process
                        (NNGP) log-density
dmnorm_gp2Scale         Function for the evaluating the Gaussian
                        likelihood with gp2Scale sparse covariance.
dmnorm_nngp             Function for the evaluating the NNGP
                        approximate density.
dmnorm_sgv              Function for the evaluating the SGV approximate
                        density.
expcov                  Exponential covariance function for Gaussian
                        processes
get_single_reverse_neighbors
                        Find reverse neighbors for a single NNGP node
inverseEigen            Calculate covariance elements based on
                        eigendecomposition components
matern_corr             Calculate a stationary Matern correlation
                        matrix
nimble_sparse_chol      nimble_sparse_chol
nimble_sparse_cholesky
                        nimble_sparse_chol
nimble_sparse_crossprod
                        nimble_sparse_crossprod
nimble_sparse_solve     nimble_sparse_solve
nimble_sparse_solveMat
                        nimble_sparse_crossprod
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_NN_GP            Simulate from a Nearest-Neighbor Gaussian
                        Process (NNGP)
rmnorm_gp2Scale         Function for the evaluating the SGV approximate
                        density.
rmnorm_nngp             Function for the evaluating the NNGP
                        approximate density.
rmnorm_sgv              Function for the evaluating the SGV approximate
                        density.
sampler_RW_NN_GP        NNGP-Specific Random Walk Metropolis-Hastings
                        Sampler
sgvSetup                One-time setup wrapper function for the SGV
                        approximation
