gRbase (version 1.6-2)

hllm: Hierarchical log-linear models

Description

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 *

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.

See Also

gmData, gRfit, ggm

Examples

data(reinis)
reinis <- as.gmData(reinis)
m2 <-
hllm(~smoke*phys*protein+mental*phys+mental*family+smoke*systol*protein,
reinis)
m2 <- fit(m2,engine="loglm")
## plot(m2)