predict.LMCAnisCompo: Compute model variogram values Evaluate the variogram model...

In gmGeostats: Geostatistics for Compositional Analysis

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)))

gmGeostats documentation built on April 18, 2023, 5:08 p.m.