predict.LMCAnisCompo {gmGeostats} | R Documentation |
Compute model variogram values Evaluate the variogram model provided at some lag vectors
Description
Compute model variogram values
Evaluate the variogram model provided at some lag vectors
Usage
## S3 method for class 'LMCAnisCompo'
predict(object, newdata, ...)
Arguments
object |
variogram model |
newdata |
matrix or data.frame of lag vectors |
... |
extra arguments for generic compatbility |
Value
an array of dimension (nr of lags, D, D) with D the number of variables in the model.
Examples
data("jura", package="gstat")
Zc = compositions::acomp(jura.pred[,7:9])
lrmd = LMCAnisCompo(Zc, models=c("nugget", "sph"), azimuths=c(0,45))
predict(lrmd, outer(0:5, c(0,1)))
[Package gmGeostats version 0.11.3 Index]