Dear R-users,
Is there any R-function for fitting generalized additive mixed
models for ordinal data? Do they actually make some sense? I can fit a
generalized linear mixed model for ordinal data using the function
clmm(ordinal) and I'm able to cope with generalized additive model for
ordinal data within the package VGAM.
But I would like to fit something like:
g(\gamma_{ij}) = \theta_{j} + x_{i1} \beta_1 + f(x_{2i}) + u_{i},
where \gamma_{ij} denote the cumulative probability that the i-th
observation falls in the j-th category or below.
Sorry for the rather out-of-R question,
Carlo Giovanni Camarda
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