adjacent category model in ordinal regression

Hello,

I suspect that vglm would do the job for the logit link.  Try :

     data(pneumo)
     pneumo$let = log(pneumo$exposure.time)
     vglm(cbind(normal, mild, severe) ~ let, multinomial, pneumo)

     vglm(cbind(normal, mild, severe) ~ let, acat, pneumo)

This is an adjacent category model with logit link, although the
help page speaks about log link (log of odds = logit). 
But I think the model is, in fact, the same as the previous one.
(same deviance ...). It seems that only the parametrisation is different.

Hope this help.

  I want to analyze some multinomial data. And the
response has a natural ordinal sturcture. I want to
fit a adjacent category model to the data by logit,
probit and complementary log-log link functions. I
found a package "VGAM"
(www.stat.auckland.ac.nz/~yee/VGAM/ ) whose function
"acat" can fit the adjacent category model but it only
has "log" and "identity" link functions. Does anybody
know there is a package or function can do the
analysis I want?

Claire Chabanet