[R-sig-ME] R-sig-mixed-models Digest, Vol 135, Issue 14

[C. AMAL D. GLELE]

Dear Alain,
thank you so much.
Best and regards,
Amal

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2018-03-11 12:00 GMT+01:00 <r-sig-mixed-models-request at r-project.org>:

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>    1. Re: Mixed-Model-Accounting-Spatial_Correlation
>       (Highland Statistics Ltd)
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> Message: 1
> Date: Sat, 10 Mar 2018 12:15:07 +0000
> From: Highland Statistics Ltd <highstat at highstat.com>
> To: "r-sig-mixed-models at r-project.org"
>         <r-sig-mixed-models at r-project.org>
> Subject: Re: [R-sig-ME] Mixed-Model-Accounting-Spatial_Correlation
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> ------------------------------
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> Message: 3
> Date: Fri, 9 Mar 2018 23:51:39 +0100
> From: "C. AMAL D. GLELE" <altessedac2 at gmail.com>
> To: R SIG Mixed Models <R-sig-mixed-models at r-project.org>
> Subject: [R-sig-ME] Mixed-Model-Accounting-Spatial_Correlation
> Message-ID:
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> Hi, dear all.
> Can someone please, tell me if  there is ways to fit models (with, or not)
> random effects, accounting spatial correlation and accepting numerical
> and/or categorical explanatories variables?
> In advance, thanks for your helps.
> Best and regards,
> Amal
>
>         [[alternative HTML version deleted]]
>
>
>
>
>
>   ------------------------------
>
>
> Amal,
>
> The answer is 'yes'. See
>
>
> https://stat.ethz.ch/pipermail/r-sig-mixed-models/2018q1/date.html
>
>
> You will see about 10 posts on this topic. And see also:
>
> https://cran.r-project.org/web/packages/glmmTMB/vignettes/covstruct.html
>
> Kind regards,
>
> Alain
>
>
>
> --
>
> Dr. Alain F. Zuur
> Highland Statistics Ltd.
> 9 St Clair Wynd
> AB41 6DZ Newburgh, UK
> Email: highstat at highstat.com
> URL:   www.highstat.com
>
> And:
> NIOZ Royal Netherlands Institute for Sea Research,
> Department of Coastal Systems, and Utrecht University,
> P.O. Box 59, 1790 AB Den Burg,
> Texel, The Netherlands
>
>
>
> Author of:
> 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological
> Data Analysis with R-INLA. (2017).
> 2. Beginner's Guide to Zero-Inflated Models with R (2016).
> 3. Beginner's Guide to Data Exploration and Visualisation with R (2015).
> 4. Beginner's Guide to GAMM with R (2014).
> 5. Beginner's Guide to GLM and GLMM with R (2013).
> 6. Beginner's Guide to GAM with R (2012).
> 7. Zero Inflated Models and GLMM with R (2012).
> 8. A Beginner's Guide to R (2009).
> 9. Mixed effects models and extensions in ecology with R (2009).
> 10. Analysing Ecological Data (2007).
>
>
>
>
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> End of R-sig-mixed-models Digest, Vol 135, Issue 14
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