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, aas.claus.dethlefsen@nja.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)