Functions to specify, fit and evaluate generalized nonlinear models.
gnm provides functions to fit generalized nonlinear models by
maximum likelihood. Such models extend the class of generalized linear
models by allowing nonlinear terms in the predictor.
Some special cases are models with multiplicative interaction terms, such as the UNIDIFF and row-column association models from sociology and the AMMI and GAMMI models from crop science; stereotype models for ordered categorical response, and diagonal reference models for dependence on a square two-way classification.
gnm is a major re-working of an earlier Xlisp-Stat package,
"Llama". Over-parameterized representations of models are used
throughout; functions are provided for inference on estimable
parameter combinations, as well as standard methods for diagnostics
etc.
The following documentation provides further information on the
gnm package:
vignette("gnmOverview", package = "gnm")
file.show(system.file("NEWS", package = "gnm"))
http://www.warwick.ac.uk/go/gnm
gnm for the model fitting function, with links to
associated functions.