print.CGP {CGP}

CGP model summary information

Description

Print a brief summary of a “CGP” object.

Usage

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

Arguments

x

An object of class "CGP"

...

For compatibility with generic method print

Details

This function prints a brief summary of a “CGP” object.

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

Author(s)

Shan Ba <[e-mail]> and V. Roshan Joseph <[e-mail]>

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

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)

## End(Not run)