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.
hllm(formula = ~.^1, gmData, marginal)
# S3 method for hllm
fit(object, engine="loglm", ...)hllm returns an object of class hllm, inheriting
from the superclass gModel.
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).
an object of class gmData.
an optional argument specifying a subset of the
variables from the gmData object.
A hllm object
.
Definining the fitting engine. For hllm objects only "loglm" is implemented.
Additional arguments
Søren Højsgaard, sorenh@math.aau.dk,
Claus Dethlefsen, cld@rn.dk
gmData, gRfit, ggm