"blue")	logLikelihoodFun.NoiseKriging
"matern3_2")	logLikelihoodFun.NoiseKriging
'l')	logLikelihoodFun.NoiseKriging
(1	logLikelihoodFun.NoiseKriging
(sin(12	logLikelihoodFun.NoiseKriging
(X/10)^2,	logLikelihoodFun.NoiseKriging
*	logLikelihoodFun.NoiseKriging
*rnorm(nrow(X))	logLikelihoodFun.NoiseKriging
+	logLikelihoodFun.NoiseKriging
-	logLikelihoodFun.NoiseKriging
/	logLikelihoodFun.NoiseKriging
0.001,	logLikelihoodFun.NoiseKriging
0.7)	logLikelihoodFun.NoiseKriging
1	logLikelihoodFun.NoiseKriging
1,	logLikelihoodFun.NoiseKriging
101)	logLikelihoodFun.NoiseKriging
2	logLikelihoodFun.NoiseKriging
2,	logLikelihoodFun.NoiseKriging
31)	logLikelihoodFun.NoiseKriging
<-	logLikelihoodFun.NoiseKriging
=	logLikelihoodFun.NoiseKriging
abline(v	logLikelihoodFun.NoiseKriging
as.km	as.km
as.km,Kriging,Kriging-method	as.km.Kriging
as.km.Kriging	as.km.Kriging
as.km.NoiseKriging	as.km.NoiseKriging
as.km.NuggetKriging	as.km.NuggetKriging
as.list,Kriging,Kriging-method	as.list.Kriging
as.list,NoiseKriging,NoiseKriging-method	as.list.NoiseKriging
as.list,NuggetKriging,NuggetKriging-method	as.list.NuggetKriging
as.list.Kriging	as.list.Kriging
as.list.NoiseKriging	as.list.NoiseKriging
as.list.NuggetKriging	as.list.NuggetKriging
as.matrix(runif(10))	logLikelihoodFun.NoiseKriging
cbind(theta,sigma20))$logLikelihood	logLikelihoodFun.NoiseKriging
cbind(theta0,sigma2))$logLikelihood	logLikelihoodFun.NoiseKriging
col	logLikelihoodFun.NoiseKriging
contour(t,s2,matrix(ncol=length(s2),ll(expand.grid(t,s2))),xlab="theta",ylab="sigma2")	logLikelihoodFun.NoiseKriging
copy	copy
copy,Kriging,Kriging-method	copy.Kriging
copy,NoiseKriging,NoiseKriging-method	copy.NoiseKriging
copy,NuggetKriging,NuggetKriging-method	copy.NuggetKriging
copy.Kriging	copy.Kriging
copy.NoiseKriging	copy.NoiseKriging
copy.NuggetKriging	copy.NuggetKriging
cos(7	logLikelihoodFun.NoiseKriging
f	logLikelihoodFun.NoiseKriging
f(X)	logLikelihoodFun.NoiseKriging
fit	fit
fit.Kriging	fit.Kriging
fit.NoiseKriging	fit.NoiseKriging
fit.NuggetKriging	fit.NuggetKriging
function(sigma2)	logLikelihoodFun.NoiseKriging
function(theta)	logLikelihoodFun.NoiseKriging
function(theta_sigma2)	logLikelihoodFun.NoiseKriging
function(x)	logLikelihoodFun.NoiseKriging
k	logLikelihoodFun.NoiseKriging
k$sigma2()	logLikelihoodFun.NoiseKriging
k$sigma2(),	logLikelihoodFun.NoiseKriging
k$theta()	logLikelihoodFun.NoiseKriging
k$theta(),	logLikelihoodFun.NoiseKriging
kernel	logLikelihoodFun.NoiseKriging
KM	KM
KM-class	KM-class
Kriging	Kriging
leaveOneOut	leaveOneOut
leaveOneOut,Kriging,Kriging-method	leaveOneOut.Kriging
leaveOneOut.Kriging	leaveOneOut.Kriging
leaveOneOutFun	leaveOneOutFun
leaveOneOutFun,Kriging,Kriging-method	leaveOneOutFun.Kriging
leaveOneOutFun.Kriging	leaveOneOutFun.Kriging
leaveOneOutVec	leaveOneOutVec
leaveOneOutVec,Kriging,Kriging-method	leaveOneOutVec.Kriging
leaveOneOutVec.Kriging	leaveOneOutVec.Kriging
length.out	logLikelihoodFun.NoiseKriging
ll	logLikelihoodFun.NoiseKriging
ll_sigma2	logLikelihoodFun.NoiseKriging
ll_theta	logLikelihoodFun.NoiseKriging
load	load
load.Kriging	load.Kriging
load.NoiseKriging	load.NoiseKriging
load.NuggetKriging	load.NuggetKriging
logLikelihood	logLikelihood
logLikelihood,Kriging,Kriging-method	logLikelihood.Kriging
logLikelihood,NoiseKriging,NoiseKriging-method	logLikelihood.NoiseKriging
logLikelihood,NuggetKriging,NuggetKriging-method	logLikelihood.NuggetKriging
logLikelihood.Kriging	logLikelihood.Kriging
logLikelihood.NoiseKriging	logLikelihood.NoiseKriging
logLikelihood.NuggetKriging	logLikelihood.NuggetKriging
logLikelihoodFun	logLikelihoodFun
logLikelihoodFun(k,	logLikelihoodFun.NoiseKriging
logLikelihoodFun,Kriging,Kriging-method	logLikelihoodFun.Kriging
logLikelihoodFun,NoiseKriging,NoiseKriging-method	logLikelihoodFun.NoiseKriging
logLikelihoodFun,NuggetKriging,NuggetKriging-method	logLikelihoodFun.NuggetKriging
logLikelihoodFun.Kriging	logLikelihoodFun.Kriging
logLikelihoodFun.NoiseKriging	logLikelihoodFun.NoiseKriging
logLikelihoodFun.NuggetKriging	logLikelihoodFun.NuggetKriging
logMargPost	logMargPost
logMargPost,Kriging,Kriging-method	logMargPost.Kriging
logMargPost,NuggetKriging,NuggetKriging-method	logMargPost.NuggetKriging
logMargPost.Kriging	logMargPost.Kriging
logMargPost.NuggetKriging	logMargPost.NuggetKriging
logMargPostFun	logMargPostFun
logMargPostFun,Kriging,Kriging-method	logMargPostFun.Kriging
logMargPostFun,NuggetKriging,NuggetKriging-method	logMargPostFun.NuggetKriging
logMargPostFun.Kriging	logMargPostFun.Kriging
logMargPostFun.NuggetKriging	logMargPostFun.NuggetKriging
NoiseKM	NoiseKM
NoiseKM-class	NoiseKM-class
NoiseKriging	NoiseKriging
NoiseKriging(y,	logLikelihoodFun.NoiseKriging
NuggetKM	NuggetKM
NuggetKM-class	NuggetKM-class
NuggetKriging	NuggetKriging
plot(s2,	logLikelihoodFun.NoiseKriging
plot(t,	logLikelihoodFun.NoiseKriging
points(k$theta(),k$sigma2(),col='blue')	logLikelihoodFun.NoiseKriging
predict,KM-method	predict-KM-method
predict,NoiseKM-method	predict-NoiseKM-method
predict,NuggetKM-method	predict-NuggetKM-method
predict.Kriging	predict.Kriging
predict.NoiseKriging	predict.NoiseKriging
predict.NuggetKriging	predict.NuggetKriging
print(k)	logLikelihoodFun.NoiseKriging
print.Kriging	print.Kriging
print.NoiseKriging	print.NoiseKriging
print.NuggetKriging	print.NuggetKriging
s2	logLikelihoodFun.NoiseKriging
save	save
save,Kriging,Kriging-method	save.Kriging
save,NoiseKriging,NoiseKriging-method	save.NoiseKriging
save,NuggetKriging,NuggetKriging-method	save.NuggetKriging
save.Kriging	save.Kriging
save.NoiseKriging	save.NoiseKriging
save.NuggetKriging	save.NuggetKriging
seq(from	logLikelihoodFun.NoiseKriging
set.seed(123)	logLikelihoodFun.NoiseKriging
sigma20	logLikelihoodFun.NoiseKriging
simulate,KM-method	simulate-KM-method
simulate,NoiseKM-method	simulate-NoiseKM-method
simulate,NuggetKM-method	simulate-NuggetKM-method
simulate.Kriging	simulate.Kriging
simulate.NoiseKriging	simulate.NoiseKriging
simulate.NuggetKriging	simulate.NuggetKriging
t	logLikelihoodFun.NoiseKriging
theta0	logLikelihoodFun.NoiseKriging
theta_sigma2)$logLikelihood	logLikelihoodFun.NoiseKriging
to	logLikelihoodFun.NoiseKriging
type	logLikelihoodFun.NoiseKriging
update,KM-method	update-KM-method
update,NoiseKM-method	update-NoiseKM-method
update,NuggetKM-method	update-NuggetKM-method
update.Kriging	update.Kriging
update.NoiseKriging	update.NoiseKriging
update.NuggetKriging	update.NuggetKriging
Vectorize(ll_sigma2)(s2),	logLikelihoodFun.NoiseKriging
Vectorize(ll_theta)(t),	logLikelihoodFun.NoiseKriging
X	logLikelihoodFun.NoiseKriging
x)	logLikelihoodFun.NoiseKriging
X,	logLikelihoodFun.NoiseKriging
X/10	logLikelihoodFun.NoiseKriging
x^5	logLikelihoodFun.NoiseKriging
y	logLikelihoodFun.NoiseKriging
