Use multinom or glm instead. The IFP algorithm used in loglin is not designed to find parameter estimates let alone standard errors.
Fitting log-linear models is discussed in all good books on R/S, e.g. MASS (see the FAQ for full details). On Tue, 17 Jan 2006, Becker Cordula wrote: > Dear all, > > I have run a hierarchical log-linear analysis using loglin {stats} > and came up with a specific model. loglin returns me the parameter > estimates giving me an idea in which direction the observed > frequencies deviate from the expected ones for my different factors. > To assess the significance of any such effects I would need to > calculate the ratio of the log-linear parameter estimate to its > standard error (as explained in Howell: Statistical Methods for > Psychology, 4th Edition, p. 637ff). Unfortunately, I have no idea and > couldn't find out what this standard error refers to and how to > calculate it or the ratio using R (well, the ratio is no problem if I > have the standard error). > > I would very much appreciate any help! > > Thanks and best wishes, Cordula Becker > > ---------------------------------------------------- > Dr. Cordula Becker > > Department of Experimental Psychology > University of Cambridge > Downing Site > Cambridge CB2 3EB > United Kingdom > > Tel.: +44 (0)1223 339715 > Email: [EMAIL PROTECTED] > > http://vision.psychol.cam.ac.uk/cbecker/ > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html