Description Usage Arguments Details Value Author(s) References See Also Examples
Draw jackknife (leave-one-out) actual by predicted plot to measure goodness-of-fit.
1 | plotCGP(object)
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object |
An object of class " |
Draw the actual observed values on the y-axis and the jackknife (leave-one-out) predicted values on the x-axis. The goodness-of-fit can be measured by how well the points lie along the 45 degree diagonal line.
This function draws the jackknife (leave-one-out) actual by predicted plot.
Shan Ba <shanbatr@gmail.com> and V. Roshan Joseph <roshan@isye.gatech.edu>
Ba, S. and V. Roshan Joseph (2012) “Composite Gaussian Process Models for Emulating Expensive Functions”. Annals of Applied Statistics, 6, 1838-1860.
1 2 3 4 5 6 7 8 9 10 11 12 | 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<-x1^2+x2^2
## Not run:
#The CGP model
mod<-CGP(X,yobs,nugget_l=0.001)
plotCGP(mod)
## End(Not run)
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