| hllm {gRbase} | R Documentation |
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 class 'hllm': fit(m, engine="loglm", ...)
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. |
m |
A hllm object |
engine |
Definining the fitting engine. For hllm objects only "loglm" is implemented. |
... |
Additional arguments |
hllm returns an object of class hllm, inheriting
from the superclass gModel.
Søren Højsgaard, sorenh@agrsci.dk,
Claus Dethlefsen, cld@rn.dk
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)