Man pages for jelsema/RRSM
Methods for reduced rank spatial models

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