This function calculates the index values of neighboring points and associated weights required by the local mean variance estimator.
localmean.weight(x, y, prb, nbh = 4, vincr = 1e-05 * abs(mean(y)))Vector of x-coordinates for location of the sample points.
Vector of y-coordinates for location of the sample points.
Vector of inclusion probabilities for the sample points.
Number of neighboring points to use in the calculations.
The variance increment for correcting an La.svd error. The default is 0.00001*abs(mean(y)).
List containing two elements: a matrix named ij composed of the index values of neighboring points and a vector named gwt composed of weights.