Loglienar models

Dear Harry,

There are two ways to fit loglinear models of which I'm aware and probably 
more that I don't know: The loglin() function fits loglinear models by IPF; 
there's a convenient front end, loglm(), in the MASS package (one of the 
recommended packages). As well, you can fit loglinear models as Poisson 
generalised linear models using the glm() function. At least in the latter 
case, you can do model selection via step().

I hope that this helps,
  John

Hello,

   I'm planning to start using R.  Before getting into it, I'd like to 
ask a couple of questions.  Does R carry out loglinear model analysis? 
That is, will it provide the chi-squared goodness of fit test statistic 
for a given hierarchical loglinear model?  Maybe even do a model 
selection procedure (like Brown's two-step procedure, or forward/backward 
selection)?  Thanks for your help.
---Harry Khamis

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John Fox
Department of Sociology
McMaster University
Hamilton, Ontario, Canada L8S 4M4
email: jfox at mcmaster.ca
phone: 905-525-9140x23604
web: www.socsci.mcmaster.ca/jfox