gear (version 0.1.5)

eval.cmod: Evaluate covariance or semivariance model.

Description

eval.cmod evaluates the covariance or semivariance of a model based on the provided arguments. See Details for what the function returns, as it changes depending on the class of mod.

Usage

eval.cmod(mod, d = NULL, coords = NULL)
# S3 method for cmodStd
eval.cmod(mod, d, coords = NULL)

Arguments

mod

A covariance or semivariance model.

d

An \(n \times m\) matrix of distances.

coords

An numeric object with two columns.

Value

Returns the evaluated model with necessary components needed for mlefit, predict, or loglik functions.

Details

If mod is of class cmodStd (from the cmod.std function), then the function returns an \(n \times m\) matrix with the evaluated standard covariance function.

Examples

# NOT RUN {
n = 10
coords = matrix(runif(2*n), nrow = n, ncol = 2)
d = as.matrix(dist(coords))
cmod = cmod.std(model = "exponential", psill = 1, r = 1)
eval.cmod(cmod, d)
# }