GeoPit {GeoModels}

Probability integral or normal score tranformation

Description

The procedure for a given GeoFit object applies the probability integral tranformation or the normal score transformation to the data

Usage

GeoPit(object,type="Uniform")

Arguments

object

A GeoFit object

.

type

The type of transformation. If "Uniform" then the probability integral tranformation is performed. If "Gaussian" then the normal score transformation is performed.

Value

Returns an (updated) object of class GeoFit

Author(s)

Moreno Bevilacqua, [e-mail],https://sites.google.com/view/moreno-bevilacqua/home, Víctor Morales Oñate, [e-mail], https://sites.google.com/site/moralesonatevictor/, Christian", Caamaño-Carrillo, [e-mail],https://www.researchgate.net/profile/Christian-Caamano

Examples

library(GeoModels)

model="Beta2"
copula="Clayton"

set.seed(221)
NN=800
x <- runif(NN);y <- runif(NN)
coords=cbind(x,y)


shape=1.5
scale=0.2;power2=4
smooth=0
nugget=0
nu=8

corrmodel="GenWend"

min=-2;max=1
mean=0


param=list(smooth=smooth,power2=power2, min=min,max=max,
             mean=mean, nu=nu,
             scale=scale,nugget=nugget,shape=shape)

optimizer="nlminb"

data <- GeoSimCopula(coordx=coords, corrmodel=corrmodel, 
model=model,param=param,copula=copula)$data

I=50
fixed<-list(nugget=nugget,sill=1,scale=scale,smooth=smooth,power2=power2,min=min,max=max,nu=nu)
start<-list(shape=shape,mean=mean)
lower<-list(shape=0,mean=-I)
upper<-list(shape=10,mean=I)

#### maximum independence likelihood
fit1 <- GeoFit(data=data,coordx=coords,corrmodel=corrmodel,
model=model,likelihood="Marginal",type="Independence",
                      optimizer=optimizer,lower=lower,
                      upper=upper,copula=copula,
                    start=start,fixed=fixed)

## PIT transformation
aa=GeoPit(fit1,type="Uniform")
hist(aa$data,freq=FALSE)
GeoScatterplot(aa$data,coords,neighb=c(1,2))
## Normal score transformation
bb=GeoPit(fit1,type="Gaussian")
hist(bb$data,freq=FALSE)
GeoScatterplot(bb$data,coords,neighb=c(1,2))