Yes; see clm and clmm2 (mixed effects) in the ordinal package for fitting proportional odds models. See section 3 of http://cran.r-project.org/web/packages/ordinal/vignettes/clm_tutorial.pdf to see how to test the proportional odds assumption with clm - it is equivalent for clmm2 models. For an introduction to clmm2, see http://cran.r-project.org/web/packages/ordinal/vignettes/clmm2_tutorial.pdf.
Hope this helps, Rune On 1 March 2014 02:56, shkingdom <suh...@psu.edu> wrote: > Dear all, > > I need to fit a multielvel model for an ordinal response. Does R have a > command for conducting a multilevel ordinal logistic regression when the > model violates the parallel regression or proportional odds assumption? > Additionally, are there any tests to check the parallel regression > assumption for the multilevel ordered model? Providing an syntax would be > really helpful. > > Thanks in advance, > > Wander > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Multilevel-analysis-for-ordinal-responses-tp4686057.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
