CGP (version 2.1-1)

print.CGP: CGP model summary information

Description

Print a brief summary of a ``CGP'' object.

Usage

# S3 method for CGP
print(x, ...)

Arguments

x

An object of class "CGP"

…

For compatibility with generic method print

Value

This function prints the results of:

lambda

Estimated nugget value \((\lambda)\)

theta

Estimated correlation parameters \((\theta)\) in the global GP

alpha

Estimated correlation parameters \((\alpha)\) in the local GP

bandwidth

Estimated bandwidth parameter \((b)\) in the variance model

Details

This function prints a brief summary of a ``CGP'' object.

References

Ba, S. and V. Roshan Joseph (2012) ``Composite Gaussian Process Models for Emulating Expensive Functions''. Annals of Applied Statistics, 6, 1838-1860.

See Also

CGP, summary.CGP, predict.CGP

Examples

# NOT RUN {
x1<-c(0,.02,.075,.08,.14,.15,.155,.156,.18,.22,.29,.32,.36,
      .37,.42,.5,.57,.63,.72,.785,.8,.84,.925,1)
x2<-c(.29,.02,.12,.58,.38,.87,.01,.12,.22,.08,.34,.185,.64,
      .02,.93,.15,.42,.71,1,0,.21,.5,.785,.21)
X<-cbind(x1,x2)
yobs<-sin(1/((x1*0.7+0.3)*(x2*0.7+0.3)))
# }
# NOT RUN {
#Fit the CGP model
mod<-CGP(X,yobs)
print(mod)
# }