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.
Hi The package VGAM checks the assumption by the argument "parallel" and comparing the 2 models with and without. I am not sure if package rms does so as well Below are some other packages that do ordinal regression, some have marginal capability ordinal repolr multgee geepack nnet I am not sure what is available in those to compare the parallel assumption Duncan Duncan Mackay Department of Agronomy and Soil Science University of New England Armidale NSW 2351 Email: home: mackay at northnet.com.au -----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of shkingdom Sent: Saturday, 1 March 2014 11:57 To: r-help at r-project.org Subject: [R] Multilevel analysis for ordinal responses 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-tp46 86057.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help at 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.
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 <suh246 at 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 at 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.