print.CGP: CGP model summary information

In CGP: Composite Gaussian Process Models

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 (λ)
theta	Estimated correlation parameters (θ) in the global GP
alpha	Estimated correlation parameters (α) 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)

Example output

There were 50 or more warnings (use warnings() to see the first 50)
Call:
CGP.default(X = X, yobs = yobs)

 Lambda:
[1] 0.6210288

 Theta:
           x1     x2
[1,] 6.065496 8.0934

 Alpha:
          x1       x2
[1,] 143.177 145.2049

 Bandwidth:
[1] 1

CGP documentation built on May 2, 2019, 1:09 p.m.