approx_nk_grid | Create a grid of points close to a target number |
awg_knots | Augment a set of knots with a grid |
basis_mat | Construct matrix of basis functions |
dplus | Calculate despersion, D^{+}{D^+} |
easy_map | A convenient mapping function |
empirical_knots | Estimate knots for reduced rank spatial process |
eye | Create an identity matrix |
gen_loca | Generate locations over a spatial domain |
merge_close_knots | Merge close knots |
mom_bec | Binned Empirical Covariance Matrix |
mom_fit | Fit the reduced dimension covariance matrix |
normij | Weight function for robust variance |
pairwise_dist | Calculate pairwise distances |
pSD | Pairwise sums and differences |
rcpparma_hello_world | Set of functions in example RcppArmadillo package |
rr_em | Estimate the parameters of a spatial mixed effects model |
rr_est | Estimate the parameters of a spatial mixed effects model |
rr_krige | Universal kriging predictions for spatial process |
rr_lognormal_krige | Spatial predictions for lognormal process |
rr_predict | Make spatial predictions |
RRSM | Reduced rank spatial models |
RRSM-package | Methods for reduced rank spatial models |
sig2dplus | Calculate variance using dispersion |
sig2dpluswts | Weighted variance using dispersion |
sigma12 | Find square root of matrix |
sim_rrsm | Simulate large spatial dataset |
threshold_knots | Exceedence set knots |
TKS | Threshold knot selection |
tr_var | Function used in lifting eigenvalues of |
voronii | Voronii |
wtii | Weight function for robust variance |
wtij | Weight function for robust variance |
zeros | Create a null matrix |
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