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# nfactor number of factor covariate
# ind.place: indicator of first factor covariate modalite in global covariate
#N: number of covariates
# v.modal: a vector of number of parameters estimates by factor covariates
#Beta, vector of beta parameters estimated
#VarBeta, vector of variance beta parameters estimated
#modality vector of ddl
waldtest <- function(N,nfact,place,modality,b,Varb,Lfirts=NULL,Llast=NULL,Ntot=NULL){
waldValue <- rep(0,nfact)
for(i in 1:nfact){
if(place[i] == 1){
taillecol <- N-modality[i]
Lapres <- matrix(0,nrow=modality[i],ncol=taillecol)
Lvar <- diag(rep(1,modality[i]))
L <- cbind(Lvar,Lapres)
if(!is.null(Lfirts)) L <- cbind(matrix(0,nrow=modality[i],ncol=Lfirts),L)
if(!is.null(Llast)) L <- cbind(L,matrix(0,nrow=modality[i],ncol=Llast))
}
if(place[i] == 2){
taillecol <- N-modality[i]
Lapres <- matrix(0,nrow=modality[i],ncol=taillecol-1)
Lvar <- diag(rep(1,modality[i]))
L <- cbind(cbind(rep(0,modality[i]),Lvar),Lapres)
if(!is.null(Lfirts)) L <- cbind(matrix(0,nrow=modality[i],ncol=Lfirts),L)
if(!is.null(Llast)) L <- cbind(L,matrix(0,nrow=modality[i],ncol=Llast))
}
if(place[i] > 2){
taillecol <- place[i]-1
Lavant <- matrix(0,nrow=modality[i],ncol=taillecol)
taillecol <- N-modality[i]-taillecol
Lapres <- matrix(0,nrow=modality[i],ncol=taillecol)
Lvar <- diag(rep(1,modality[i]))
L <- cbind(Lavant,cbind(Lvar,Lapres))
if(!is.null(Lfirts)) L <- cbind(matrix(0,nrow=modality[i],ncol=Lfirts),L)
if(!is.null(Llast)) L <- cbind(L,matrix(0,nrow=modality[i],ncol=Llast))
}
W <- 0
r = dim(L)[1]
W = t(L%*%b) %*% solve(L%*%Varb%*%t(L)) %*% (L%*%b)
W = as.numeric(W)
waldValue[i] = W
# if(is.null(Ntot))Ntot <- N
# out <- .Fortran("waldmultiv",
# as.double(b),
# as.integer(Ntot),
# as.integer(L),
# as.double(Varb),
# as.integer(modality[i]),
# Wald=as.double(0),
# PACKAGE = "frailtypack")
# waldValue[i] <- out$Wald
# print(L)
}
return(waldValue)
}# end Wald
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