[R-sig-ME] Using glmm for penalised spline model

[Highland Statistics Ltd]

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>
> ------------------------------
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> Message: 3
> Date: Fri, 4 Jul 2014 09:44:02 +0200
> From: "Richman, Ronald" <Ronald.Richman at aig.com>
> To: "R-sig-mixed-models at r-project.org"
> 	<R-sig-mixed-models at r-project.org>
> Subject: [R-sig-ME] Using glmm for penalised spline model
> Message-ID:
> 	<466C6A0445D25841BAC0B80BEE58807A1A5717FDCE at JOHP3MMFS01.mail.aig.net>
> Content-Type: text/plain
>
> Hi All,
>
> This is my first post to the mailing list, and may I thank you all for the interesting and varied correspondence which you post.
>
> I have come across a reference for using mixed models to fit penalised spline models in Currie<http://www.macs.hw.ac.uk/~iain/research/Currie.SM.pdf>(2013). He writes that -:
>
> "An alternative approach is to express the PGLM as a generalized linear mixed model
> (GLMM) and this also leads to an estimate of the smoothing parameter."


Ron,

Sorry for self-citing..but see:

http://www.highstat.com/BGGAMM.htm

for examples how to write a smoother as a mixed model and use 
nlme/lmer/JAGS to estimate the smoother.

Kind regards,

Alain
> I have searched for a reference on how to accomplish this, but to little avail. Does anyone have any experience in this?
>
> Kind regards,
> Ron
>
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>



-- 
Dr. Alain F. Zuur

First author of:
1. Beginner's Guide to GAMM with R (2014).
2. Beginner's Guide to GLM and GLMM with R (2013).
3. Beginner's Guide to GAM with R (2012).
4. Zero Inflated Models and GLMM with R (2012).
5. A Beginner's Guide to R (2009).
6. Mixed effects models and extensions in ecology with R (2009).
7. Analysing Ecological Data (2007).

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