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