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On 18 April 2013 18:38, Thomas Foxley <thomasfoxley at aol.com> wrote: > Rune, > > Thank you very much for your response. > > I don't actually have the models that failed to converge from the first > (glmulti) part as they were...

Hi Alice, A factor is a fairly basic R concept that you can read about in http://cran.r-project.org/doc/manuals/R-intro.pdf on page 16. Now to fit the CLM, you need to turn your response...

Dirk Eddelbuettel skrev: > On 10 August 2009 at 13:55, Rune Schjellerup Philosof wrote: > | When I execute mclapply it creates the needed processes, but these > | processes never begin computing anything, they just wait indefinitely. > I discovered that it occurs when...

On 2 May 2018 at 00:27, Maarten Jung <Maarten.Jung at mailbox.tu-dresden.de> wrote: > Sorry, I forgot that lmer() (unlike lmer_alt() from the afex package) > does not convert factors to numeric covariates when using the the...

Just a small note that lmerTest (and the Satterthwaite method for degrees of freedom) is only meaningful for _linear_ mixed models - not for the generalized variants such as the one considered here for proportions. Best, Rune On 27 February 2018...

Hi Ben, The ordered logit model with a random intercept (also known as a proportional odds model with random intercept and a cumulative link mixed model, CLMM with a random intercept) can be fitted with the clmm function from package...

Hi Stephen On 22/02/2008, Stephen Cole <swbcole at gmail.com> wrote: > hello R help > > I am trying to analyze a data set that has been collected from a > hierarchical sampling design. The model should be a mixed model...

Hi Zhao, This is not a direct answer to your question, but a suggestion for a different approach. The ordinal package was designed to cope with issues like this (parameter constraints in ordinal regression models) - try the following: > library(ordinal...

Dear mixed-modellers! The lmerTest package has been re-written and the new version will soon be released as package version ? 3.0. The lmerTest package provides p-values in type I, II or III anova and summary tables for...

On 2 May 2018 at 17:50, Maarten Jung <Maarten.Jung at mailbox.tu-dresden.de> wrote: > Thank you for explaining this. This is *very* interesting. > As far as I understand, m_zcp5 is the model Reinhold Kliegl uses in...

It is difficult to say why the bigger model converges while the submodels do not. Perhaps the surprising part is why the bigger model converges rather than why the simpler ones don't given the rather complicated variance structure in...

Hi Kari I know you asked specifically about MCMCglmm, but as an alternative you could consider to fit the mixed-effects model with clmm from package ordinal by maximum likelihood: > library(ordinal) > fmm1 <- clmm(resp ~ treat, random = group, Hess = 1...

Maybe we are confusing ourselves here. Christiano, you say that you are using lme4, but the output looks more like that from lme (nlme package). If the latter is the case, the lmerTest package is not directly related to your...

My point was just that the situation in a cumulative link model is not much different from a binomial glm - the binomial glm is even a special case of the clm with only two response categories. And just like summary...

On 9 May 2018 at 20:16, Victoria Ortiz <vicrotas at gmail.com> wrote: > Hi, > I'm so sorry for the delay in the response, I was with a lot of work. > > With "variance components" I mean the partition of...

On 22 March 2018 at 16:11, Maarten Jung <Maarten.Jung at mailbox.tu-dresden.de> wrote: > Dear Rune, > > thanks for making clear what /REPEATED stands for! > > Independently, does it make sense to fit a model via > > gls(value ~ factor1...

There is also clm() (for cumulative link models) from package ordinal that has much the same interface that polr() has, but it does give you p-values for the regression parameters. A simple example from examples(clm): library(ordinal) data...

Dear Malcolm On 3 August 2012 19:11, Malcolm Fairbrother <m.fairbrother at bristol.ac.uk> wrote: > Dear Rune (and list), > > I've been making use of clmm, and have two (potentially over-ambitious) questions. If Rune or anyone else...

On 3 January 2011 22:53, Emmanuel Charpentier <emm.charpentier at free.fr> wrote: > Le lundi 03 janvier 2011 ? 19:54 +0100, Rune Haubo a ?crit : >> Hi Emmanuel, >> >> You can use the clmm() function in package ordinal to fit cumulative...

Dirk Eddelbuettel skrev: > On 11 August 2009 at 09:07, Mark.Bravington at csiro.au wrote: > | As the author of the 'debug' package, but knowing nothing about multicore > | (I'm a Windows user)-- The newest version of multicore 0.1...