[R-sig-ME] Response_type_and_distribution_in_gls

[C. AMAL D. GLELE]

Dear Alain,
many thanks to you for your answers.
I apologie about emailing you in particular; but it is because I thought
such a post is off-topic here.
Again, thanks.
Best and regards,

2018-03-11 17:18 GMT+01:00 Highland Statistics Ltd <highstat at highstat.com>:

> Amal..please email the mixed modelling mailing list rather than me
> personally.
>
> On 11/03/2018 15:40, C. AMAL D. GLELE wrote:
>
> Hi, dear Alain.
> I'm reading your book "Statistics of Biology and Health" and I would like
> to ask you the two following questions regarding its chapter 7:
> 1)
> which types of response variable can be used in gls model?
> is there a way to specify the response distribution in gls?
>
> Please have a look at Pinheiro and Bates (2000). They have a whole chapter
> on this topic. Our 2009 book also has a chapter on it.
>
> 2)
> I remark that there is no distribution specified (via family) for the
> responses used: which distribution does the program takes in account for
> the response variable?
>
> See:   ?gls
>
> It is a linear model using generalized least squares. Hence...Gaussian.
>
> If you want to use other distributions, then see the help file of glmmTMB.
> For example, you can model the theta of the negative binomial or Gamma
> distributions as functions of covariates.
>
> Kind regards,
> Alain
>
>
> In advance, thanks foe your answers.
> Best and regards,
> Amal
>
>
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>
> --
>
> 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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