RMiaco: Iaco-Cesare model
In RandomFields: Simulation and Analysis of Random Fields

Description Usage Arguments Value References See Also Examples

The space-time covariance function is

C(r,t) = (1.0 + r^ν + t^λ)^δ

1	RMiaco(nu, lambda, delta, var, scale, Aniso, proj)

`nu,lambda`	number in (0,2]
`delta`	positive number
`var,scale,Aniso,proj`	optional arguments; same meaning for any `RMmodel`. If not passed, the above covariance function remains unmodified.

RMiaco returns an object of class RMmodel.

de Cesare, L., Myers, D.E., and Posa, D. (2002) FORPRAN programs for space-time modeling. Computers \& Geosciences 28, 205-212.
de Iaco, S.. Myers, D.E., and Posa, D. (2002) Nonseparable space-time covariance models: some parameteric families. Math. Geol. 34, 23-42.

RMmodel.

RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
##                   RFoptions(seed=NA) to make them all random again

model <- RMiaco(nu=1, lambda=1.5, delta=0.5)
plot(model, dim=2)

x <- seq(0, 10, 0.1)
plot(RFsimulate(model, x=x, y=x))

Loading required package: sp
Loading required package: RandomFieldsUtils

Attaching package: 'RandomFields'

The following object is masked from 'package:RandomFieldsUtils':

    RFoptions

NULL
NOTE: simulation is performed with fixed random seed 0.
Set 'RFoptions(seed=NA)' to make the seed arbitrary.
New output format of RFsimulate: S4 object of class 'RFsp';
for a bare, but faster array format use 'RFoptions(spConform=FALSE)'.