I'm not familiar with the term "partial association model", and I
don't have the Sloane and Morgan paper you cite. Neither Google nor
RSiteSearch("partial association model") produced anything that looked
to me like what you were asking.
Part of the R culture is that one can fit anything with R; the only
question is how. To determine that and to answer your other question on
the advantages of log-linear models, I believe you could best approach
those questions by consulting the references in the help file for
"glm".
In particular, I recommend you start with Venables and Ripley (2002)
Modern Applied Statistics with S, 4th ed. (Springer). It is probably
the best known book on this issue. If you are not already familiar
with this book, I highly recommend it. I don't have a copy at my
fingertips now, but with luck, you may find answers to both your
questions. It may not discuss "partial association models" by that
name, but if you know partial association models, you might be able to
find something relevant in that book.
McCullagh P. and Nelder, J. A. (1989) Generalized Linear Models.
(London: Chapman and Hall) is the second and substantially enlarged
edition of the initial defining book on this topic. Hastie, T. J. and
Pregibon, D. (1992) "Generalized linear models", Chapter 6 of
_Statistical Models in S_ eds J. M. Chambers and T. J. Hastie,
(Wadsworth & Brooks/Cole) may provide useful information not available
in Venables and Ripley.
I doubt if this answered your question, but I hope it at least will
help you in some way. Feel free to post another question. However, I
think you will help yourself if you read and follow the posting guide!
"http://www.R-project.org/posting-guide.html". I suspect that on
average, posts prepared following this guide get more useful answers
quicker.
spencer graves
0034058 at fudan.edu.cn wrote:
> my last post was filtered,so I post it again with another title.
>
> If I do not make a mistake,the partial association model is an
> extension of log-linear model.I read a papers which gives an example
> of it.(Sloane and Morgan,1996,An Introduction to Categorical Data
> Analysis,Annual Review of Sociology.22:351-375) Can R fit such partial
> association model?
>
> ps:Another somewhat off-topic question.What's the motivations to use
> log-linear model?Or why use log-linear model?I learn the log-linear
> model butI still do not master the the advantage of the model.thank
> you!
>
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