gnm-package: Generalized Nonlinear Models

Description Details Author(s) References See Also Examples


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")

NEWS"NEWS", package = "gnm"))


Heather Turner and David Firth

Maintainer: Heather Turner <[email protected]>


See Also

gnm for the model fitting function, with links to associated functions.



hturner/gnm documentation built on June 22, 2018, 5:14 a.m.