evaluate.cmodStd {gear} | R Documentation |
Evaluate spatial dependence model
Description
evaluate
evaluates the spatial dependence model
based on the provided arguments.
Usage
## S3 method for class 'cmodStd'
evaluate(mod, d, e = TRUE, f = TRUE)
evaluate(mod, d, e = TRUE, f = TRUE)
Arguments
mod |
A covariance or semivariogram model. |
d |
An |
e |
A single logical value indicating whether the
error variance should be added to the returned
covariance matrix. Default is |
f |
A single logical value indicating whether the
finescale/microscale variance should be added to the
returned covariance matrix. Default is |
Details
If mod
is of class cmodStd
(from the
cmod_std
function), then the function returns an
matrix with the evaluated standard
covariance function.
Value
Returns the evaluated model with necessary
components needed for estimate
and
predict
.
Author(s)
Joshua French
Examples
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)
evaluate(cmod, d)