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RMma
is a univariate stationary covariance model
depending on a univariate stationary covariance model.
The corresponding covariance function only depends on the difference
$h$ between two points and is given by
RMma(phi, alpha, theta, var, scale, Aniso, proj)
RMmodel
.RMmodel
. If not passed, the above
covariance function remains unmodified.RMmodel
,
RFsimulate
,
RFfit
.
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
model <- RMma(RMgauss(), alpha=4, theta=0.5)
x <- seq(0, 10, 0.02)
plot(model)
plot(RFsimulate(model, x=x))
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