Nothing
NHD <-
function(lambdaC, lambdaD,T=NULL,Ptype='inhom', posC, typeC=1, posD, typeD=1, r=NULL,
dplot=TRUE,tit='D(r)',...)
{
#lambda must be matrices, each column the lambda in each time position in a process
#pos andtype contain the time position of the occurrences and type the number of the process where it occurs
#since in each process the number of occurrences is different , a matrix cannot be used
lambdaC<-as.matrix(lambdaC)
lambdaD<-as.matrix(lambdaD)
if (max(dim(lambdaC)[1],dim(lambdaD)[1])==1)
{if (is.null(T)==TRUE) {stop('Argument T (length of the observation period) must be specified')}
else {Ptype<-'hom'}}
if(is.null(T)==TRUE) T<-max(dim(lambdaC)[1],dim(lambdaD)[1])
if (max(posC, posD)>T) stop("There are some occurrence points outside the observation period")
if (is.null(r))
{
r1<-max(10, floor(T/10))
r<-seq(1,r1,by=2)
if (length(r)>200) r<-seq(1,r1,length.out=200)
}
if (max(2*r+1)>T) stop ('Some r values are too large and they lead to
intervals longer than the observation period T')
if (Ptype=='hom')
{
NHDr<-HDFaux(punt=posC, posD=posD, r=r, T=T)
}
else
{
if (length(typeC)==1) typeC<-rep(1,length(posC))
if (length(typeD)==1) typeD<-rep(1,length(posD))
if (length(posC)!=length(typeC)) stop("Arguments typeC and posC must have the same length")
if (length(posD)!=length(typeD)) stop("Arguments typed and posD must have the same length")
if(dim(lambdaC)[1]==1) lambdaC<-as.matrix(rep(lambdaC,T))
if(dim(lambdaD)[1]==1) lambdaD<-as.matrix(rep(lambdaD,T))
if (dim(lambdaD)[1]!=dim(lambdaC)[1]) stop("Arguments lambdaC and lambdaD must have the same number of rows")
#D(r) estimation en [2,] y LWnuC estimation in [1,]
NHDraux<-sapply(r, FUN = NHDaux,lambdaC=lambdaC, lambdaD=lambdaD,
posC=posC,typeC=typeC, posD=posD, typeD=typeD, T=T)
NHDr<-1-NHDraux[2,]/NHDraux[1,]
}
if (dplot==TRUE)
{ plot(r,NHDr,pch=16, ylab='D(r)', xlab='r', main=tit, cex=0.5,...)
lines(r,NHDr)
}
return(list(r=r,NHDr=NHDr, T=T))
}
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