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gRbase (version 1.9.0)

zzz-hllm: Old: Hierarchical log-linear models

Description

NOTICE: THIS FUNCTION IS DEFUNCT. PLEASE USE THE gRim PACKAGE FOR HIERARCHICAL LOG LINEAR MODELS.

An implementation of hierarchical log-linear models using the framework of gRbase. A model object is defined using hllm, fitted using fit (which calls loglm) and a model search performed using stepwise. The models may be displayed and manipulated using the gRbase.

Usage

hllm(formula = ~.^1, gmData, marginal)
# S3 method for hllm
fit(object, engine="loglm", ...)

Value

hllm returns an object of class hllm, inheriting from the superclass gModel.

Arguments

formula

an object of class formula. The right hand side of the formula is a list of the generators separated by +. A generator is specified by variable names with separated by *. Commonly used models have short hand notations: saturated model (~.^.), main effects (~.^1), all k'th order interactions (~.^k).

gmData

an object of class gmData.

marginal

an optional argument specifying a subset of the variables from the gmData object.

object

A hllm object

.

engine

Definining the fitting engine. For hllm objects only "loglm" is implemented.

...

Additional arguments

Author

Søren Højsgaard, sorenh@math.aau.dk,
Claus Dethlefsen, cld@rn.dk

See Also

gmData, gRfit, ggm