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betaparametVP <-
function(X, NX){
rn=length(X[,1])
cn=length(X[1,])
MX=apply(X,1,sum, na.rm=TRUE)
P<-rep(0,rn)
V<-rep(0,rn)
VX2<-rep(0,rn)
VN<-rep(0,rn)
VA<-rep(0,rn)
AA<-matrix(0,nrow=rn,ncol=100)
BB<-matrix(0,nrow=rn,ncol=100)
VVX2<-matrix(0,nrow=rn,ncol=100)
WW<-array(0,c(rn,100,cn))
WW2<-array(0,c(rn,100,cn))
VV2<-array(0,c(rn,100,cn))
SWW2<-matrix(0,nrow=rn,ncol=100)
SW<-rep(0,rn)
PP<-matrix(0,nrow=rn,ncol=100)
PW<-array(0,c(rn,100,cn))
VV<-matrix(0,nrow=rn,ncol=100)
D<-matrix(NA,nrow=rn,ncol=100)
Q<-X/NX# matrix(0,nrow=rn,ncol=cn)
w<-NX/sum(NX)
W2<-w^2
for(i in seq(rn)){
if(MX[i]>0){
for( j in seq(cn)){
P[i]<-P[i]+w[j]*Q[i,j]
}
for(j in seq(cn)){
VX2[i]<-VX2[i]+(w[j]*Q[i,j])^2
}
V[i]<-(V[i]-sum(W2)*P[i])^2/(1-sum(W2))
ab<-betaparametab(NX,w,P[i],V[i])
AA[i,1]<-ab[1]
BB[i,1]<-ab[2]
VVX2[i,1]<-VX2[i]
for(j in seq(cn)){
WW2[i,1,j]<-W2[j]
WW[i,1,j]<-w[j]
}
PP[i,1]<-P[i]
VV[i,1]<-V[i]
D[i,1]<-10
k=1
while(D[i,k]>0.01){
k<-k+1
AB<-betaparametab(xn=NX,w=WW[i,c(k-1),],
P=PP[i,(k-1)],V=VV[i,c(k-1)])
AA[i,k]<-AB[1]
BB[i,k]<-AB[2]
EW<-betaparametw(xn=NX,a=AA[i,k],b=BB[i,k])
WW[i,k,]<-EW
SWW2[i,k]<-0
for(j in seq(cn)){
PP[i,k]<-PP[i,k]+WW[i,k,j]*Q[i,j]
SWW2[i,k]<-SWW2[i,k]+WW[i,k,j]^2
VVX2[i,k]<-VVX2[i,k]+(WW[i,k,j]*Q[i,j])^2
}
for(j in seq(cn)){
VV[i,k]<-VV[i,k]+(WW[i,k,j]*Q[i,j]
-PP[i,k]/cn)^2/(1-SWW2[i,k])
}
if(k<100){
D[i,k]<-abs(BB[i,c(k-1)]-BB[i,k])
}else{
D[i,k]<-0
}
if(is.na(D[i,k])){
D[i,k]<-0
}
}
VN[i]<-VV[i,k]
SW[i]<-SWW2[i,k]
P[i]<-PP[i,k]
VA[i]<-((1+MX[i])/sum(NX))*(1-(1+
MX[i])/sum(NX))/sum(NX)
if(is.na(VN[i])==TRUE){
VN[i]<-0
}
V[i]<-max(VN[i],VA[i])
if(is.na(P[i])){
P[i]=0
for(j in seq(cn)){
P[i]<-P[i]+w[j]*Q[i,j]
}
}
}
}
paramet<-cbind(P,V)
return(paramet)
}
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