| 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 functions, eg. dynamic.Graph.
hllm(formula = ~.^1, gmData, marginal)
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. |
hllm returns an object of class hllm, inheriting
from the superclass gModel.
Søren Højsgaard, sorenh@agrsci.dk,
Claus Dethlefsen, cld@rn.dk
gmData, gRfit, ggm, dynamic.Graph
data(reinis) reinis <- as.gmData(reinis) m2 <- hllm(~smoke*phys*protein+mental*phys+mental*family+smoke*systol*protein, reinis) m2 <- fit(m2,engine="loglm") ## Not run: dynamic.Graph(m2)