ZOLD-hllm: Hierarchical log-linear models

In gRbase: A package for graphical modelling in R

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)

S<f8>ren H<f8>jsgaard, [e-mail],
Claus Dethlefsen, [e-mail]

See Also

gmData, gRfit, ggm

gRbase documentation built on May 2, 2019, 4:51 p.m.