README.md

multinomINLA

Bayesian multinomial models with INLA

Description

The package provides the function multinomINLA() for fitting multinomial models in a simple and straightforward way, using the same syntax as e.g. nnet::multinom().

Since INLA cannot handle multinomial likelihoods, we use the Multinomial-Poisson transformation to reparameterize the model and fit independent Poisson observations. The summaries and marginals for the multinomial probabilities are given in the resulting list object under the names summary.multinomial and marginals.multinomial respectively.

Moreover, the function admits individual observations rather than category counts. This allows using the same syntax as other packages, and more flexible modelling.

TODO

Citing



famuvie/multinomINLA documentation built on May 16, 2019, 10:04 a.m.