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where
RMschur(phi, M, diag, rhored, var, scale, Aniso, proj)
RMmodel
.phi
M
:
diag
is a vector of variances, rhored
is a vector
containing the correlations of lower triangle of the M
StartExample()
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
StartExample()
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))
FinalizeExample()
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