VGAM package does not appear to compute CI for N? Problems with weights

[cschwarz-stat-sfu-ca]

Try the following code fragment
data_rodli <- data.frame(cap_hist=c("11""10","01"),
t1 = c(1,1,0),
t2 = c(1,0,1),
freq =c(57, 52, 120))

need to expand capture history by frequency

rodli.vgam.expand <- plyr::adply(rodli.vgam, 1, function(x){
x[ rep(1, x$freq),]
})

head(rodli.vgam.expand)

rodli.vgam.m.t <- vglm(cbind(t1,t2) ~ 1,
posbernoulli.t, data = rodli.vgam.expand)
summary(rodli.vgam.m.t)

try with weights

rodli.vgam.m.t2 <- vglm(cbind(t1,t2) ~ 1,
posbernoulli.t, data = rodli.vgam, weights=freq)
summary(rodli.vgam.m.t)

[cschwarz-stat-sfu-ca]

Wrote the maintainer of VGAM who has fixed the problem where the CI for N is not printed.
The weight problem is deeper in several packages and likely not fixable.