Last chance! 50% off unlimited learning
Sale ends in
reduceddim
which depends on a univariate stationary
isotropic covariance $\phi$ in a bigger dimension fulldim
.
For formulas for the covariance function see details.RMtbm(phi, fulldim, reduceddim, layers, var, scale, Aniso, proj)
The standard case reduceddim=1
and fulldim=3
.
If only one of the parameters are given, then the difference of two
parameters equals 2.
For d == n + 2
, where n=reduceddim
and
d==fulldim
the original dimension, we have
n=1
reduced to the standard TBM operator
d == 2 && n == 1
we have
RFoptions(seed=0)
x <- seq(0,25, if (interactive()) 0.02 else 5)
model <- RPtbm(RMspheric())
z <- RFsimulate(model, x, x)
plot(z)
RFoptions(seed=NA)
Run the code above in your browser using DataLab