[R-sig-ME] R-sig-mixed-models Digest, Vol 138, Issue 34
Trevor Walker
trevord@vi@w@lker @ending from gm@il@com
Mon Jun 25 03:53:12 CEST 2018
Try googling "Cumulative link mixed model".
I have had success with the clm and clmm functions in the ordinal package.
-Trevor
On Sun, Jun 24, 2018 at 6:00 AM, <r-sig-mixed-models-request using r-project.org>
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> Today's Topics:
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> 1. mixed-effects ordinal logistic regression model
> (ahmadr215 using tpg.com.au)
> 2. Re: mixed-effects ordinal logistic regression model
> (Paul Buerkner)
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Sat, 23 Jun 2018 23:04:44 +1000
> From: <ahmadr215 using tpg.com.au>
> To: <r-sig-mixed-models using r-project.org>
> Subject: [R-sig-ME] mixed-effects ordinal logistic regression model
> Message-ID: <002501d40af2$c282c360$47884a20$@tpg.com.au>
> Content-Type: text/plain; charset="utf-8"
>
> Hi list
>
>
>
> I have a dataset with n=60 animals with two groups (30/group; control and
> treatment) on 3 different research sites. Animals are monitored on days 0,
> 14 and 28 (repeated measures), and lesions are scored from 1-4.
>
>
>
> I want to use a mixed-effects ordinal logistic regression model and
> consider
> animals and research sites as random-effects in the model.
>
> I haven't done ordinal logistic regression before, and I would like to use
> this data and learn how to do the analysis and also interpret the outputs.
> I
> appreciate any help on;
>
>
>
> 1- A book, paper or link on ordinal logistic regression (easy to read and
> understand for an average reader)
>
> 2- What is the preferred package in R to analyse such data? I noticed some
> have used "Ordinal" package.
>
> 3- Is it appropriate to use farm (n=3) as a random-effects in the model? I
> assume 3 is small to be considered as a random-effects in the model, your
> thoughts?
>
> 4- Because observations are repeated on 3 occasions (repeated measures), I
> intend to use animals as a random-effects.
>
> 5- If I use both research sites and animals as random-effects, I assume it
> would be a nested random-effects model?
>
> 6- I appreciate if someone can help with some R codes on ordinal logistic
> regression
>
>
>
> Your help is greatly appreciated!
>
>
>
> Ahmad
>
>
>
>
>
>
>
>
>
>
> [[alternative HTML version deleted]]
>
>
>
>
> ------------------------------
>
> Message: 2
> Date: Sat, 23 Jun 2018 15:30:41 +0200
> From: Paul Buerkner <paul.buerkner using gmail.com>
> To: ahmadr215 using tpg.com.au
> Cc: r-sig-mixed-models using r-project.org
> Subject: Re: [R-sig-ME] mixed-effects ordinal logistic regression
> model
> Message-ID:
> <CAGoSky___sd0xhDeEakt+J0SORs2gUnO_0v_qK_OQY8y-tg=Pw@
> mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
>
> Hi Ahmad,
>
> if you want to fit this model in a frequentist framework, I recommend the
> "ordinal" package. If you rather want to use a Bayesian framework, I
> recommend "brms". For a tutorial paper about ordinal models also containing
> R code for brms, see https://psyarxiv.com/x8swp/
>
> Paul
>
> 2018-06-23 15:04 GMT+02:00 <ahmadr215 using tpg.com.au>:
>
> > Hi list
> >
> >
> >
> > I have a dataset with n=60 animals with two groups (30/group; control and
> > treatment) on 3 different research sites. Animals are monitored on days
> 0,
> > 14 and 28 (repeated measures), and lesions are scored from 1-4.
> >
> >
> >
> > I want to use a mixed-effects ordinal logistic regression model and
> > consider
> > animals and research sites as random-effects in the model.
> >
> > I haven't done ordinal logistic regression before, and I would like to
> use
> > this data and learn how to do the analysis and also interpret the
> outputs.
> > I
> > appreciate any help on;
> >
> >
> >
> > 1- A book, paper or link on ordinal logistic regression (easy to read and
> > understand for an average reader)
> >
> > 2- What is the preferred package in R to analyse such data? I noticed
> some
> > have used "Ordinal" package.
> >
> > 3- Is it appropriate to use farm (n=3) as a random-effects in the model?
> I
> > assume 3 is small to be considered as a random-effects in the model, your
> > thoughts?
> >
> > 4- Because observations are repeated on 3 occasions (repeated measures),
> I
> > intend to use animals as a random-effects.
> >
> > 5- If I use both research sites and animals as random-effects, I assume
> it
> > would be a nested random-effects model?
> >
> > 6- I appreciate if someone can help with some R codes on ordinal logistic
> > regression
> >
> >
> >
> > Your help is greatly appreciated!
> >
> >
> >
> > Ahmad
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> > [[alternative HTML version deleted]]
> >
> > _______________________________________________
> > R-sig-mixed-models using r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
> >
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