Nothing
covLCA.covLAlphaAlpha <-
function(J,S2,K.j,N,R,probs,rgivy,z)
{
Cov=matrix(nrow=J*S2*(K.j[1]-1),ncol=J*S2*(K.j[1]-1)) #Does not need to be adapted
ind1=0
for (i1 in 1:J) #A: for each manifest variable m
{
for (i2 in 1:S2) #A: for each covariate q
{
for (i3 in 1:(K.j[1]-1)) #A: for each category k
{
ind1=ind1+1
ind2=0
for (i4 in 1:J) #A: for each manifest variable u
{
for (i5 in 1:S2) #A: for each covariate r
{
for (i6 in 1:(K.j[1]-1)) #A: for each category s
{
ind2=ind2+1
res=rep(0,N)
for (j in 1:R) #A: for each latent class j
{
for (l in 1:R) #A: for each latent class l
{
res=res+probs[,i1,i3,j]*probs[,i4,i6,l]*rgivy[,j]*((j==l)-rgivy[,l])
}
}
Cov[ind1,ind2]=(z[,i2]*z[,i5])%*%res
}
}
}
}
}
}
return(Cov)
}
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