gRbase: ZOLD-hllm – R documentation

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gRbase

ZOLD-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 class 'hllm'
fit(object, engine="loglm", ...)

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

Value

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

Author(s)

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