print.CGP {CGP} R Documentation

## 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 <shanbatr@gmail.com> and V. Roshan Joseph <roshan@isye.gatech.edu>

### References

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

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)


[Package CGP version 2.1-1 Index]