Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

RMschur

Schur product

Description

The covariance function is

C(x)= M * φ(x)

where ‘*’ denotes the Schur product, i.e. elementwise multiplication.

Usage

RMschur(phi, M,  diag, rhored, var, scale, Aniso, proj)

Arguments

phi

covariance function of class RMmodel
M

constant n x n covariance matrix of the same size as multivariate model phi
diag,rhored

alternative way of passing M: diag is a vector of variances, rhored is a vector containing the correlations of the lower triangle of the M.

var,scale,Aniso,proj

optional arguments; same meaning for any RMmodel. If not passed, the above covariance function remains unmodified.

Value

RMschur returns an object of class RMmodel.

Author(s)

References

  • ?

See Also

Examples

RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
##                   RFoptions(seed=NA) to make them all random again
model <- RMschur(M=matrix(c(2, 1, 1, 1), ncol=2), RMparswm(nudiag=c(0.5, 2)))
plot(model)
x <- seq(0, 10, 0.02)
plot(RFsimulate(model, x=x))
RandomFields

Simulation and Analysis of Random Fields

v3.3.10
GPL (>= 3)
Authors
Martin Schlather [aut, cre], Alexander Malinowski [aut], Marco Oesting [aut], Daphne Boecker [aut], Kirstin Strokorb [aut], Sebastian Engelke [aut], Johannes Martini [aut], Felix Ballani [aut], Olga Moreva [aut], Jonas Auel[ctr], Peter Menck [ctr], Sebastian Gross [ctr], Ulrike Ober [ctb], Paulo Ribeiro [ctb], Brian D. Ripley [ctb], Richard Singleton [ctb], Ben Pfaff [ctb], R Core Team [ctb]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.