Description Usage Arguments Details Examples
Plot the concentrated likelihood used to estimate the parameters of the metamodel error estimating Gaussian process.
1 | likelihood.plot(ssm, xrange = c(0, 1000), grid = 200)
|
ssm |
An SSM object. |
xrange |
(optional) The range of the x axis. Set to |
grid |
(optional) A number. The number of points used to plot the curve. |
As a diagnostic it can be helpful to look at the concentrated likelihood
function of the correlation function used to estimate the metamodel error.
Flat likelihood functions make it difficult to pick a suitable r
length parameter. Note that r
and sigma
can be set manually.
1 2 3 4 5 6 | data(attitude)
X <- transform11(attitude[ 2:7])
Y <- attitude[ , 1]
s <- fit.ssm(X, Y, GP = TRUE)
likelihood.plot(s)
likelihood.plot(s, xrange = c(0, 20))
|
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