[R-sig-ME] Log-normal MCMCglmm

Daniel Sol dsolrueda at gmail.com
Tue Jul 28 13:03:15 CEST 2015


Dear Paul and Jarrod,

Thanks a lot for your responses. I read somewhere that in GLM
log-transforming the response variable and using a log-link is not exactly
the same, but I did not really know the implications. Based on your
clarifications, I'm gonna log-transform the response variable. Many thanks
for your help, I really appreciate it.

Best wishes,

Dani








2015-07-28 12:41 GMT+02:00 Jarrod Hadfield <j.hadfield at ed.ac.uk>:

> Hi Dani,
>
> I'm not sure why logging the response is not equivalent? Is it because you
> wish the residuals to be log normal, but the distribution of other random
> effects to be normal? If so, then MCMCglmm is not able to handle this: all
> random effects, including residuals, must be (multivariate) normal on some
> link scale.
>
> Cheers,
>
> Jarrod
>
>
>
>
>
> Quoting Daniel Sol <dsolrueda at gmail.com> on Tue, 28 Jul 2015 10:47:29
> +0200:
>
>  Hi Jörg,
>>
>> Thanks a lot for the suggestion. I actually have tried to use a Poisson
>> error, but it looks like my data best fit a log-normal distribution.
>>
>> Best,
>>
>> Dani
>>
>> 2015-07-28 10:40 GMT+02:00 Jörg Albrecht <albrechj at staff.uni-marburg.de>:
>>
>>  Hi Dani,
>>>
>>> you could try specifying
>>>
>>> family = "poisson".
>>>
>>> Best,
>>>
>>> Jörg
>>>
>>>>>> Jörg Albrecht, PhD
>>> Postdoctoral researcher
>>> Institute of Nature Conservation
>>> Polish Academy of Sciences
>>> Mickiewicza 33
>>> 31-120 Krakow, Poland
>>> www.carpathianbear.pl
>>> www.globeproject.pl
>>> www.iop.krakow.pl
>>>
>>> Am 25.07.2015 um 11:31 schrieb Daniel Sol <dsolrueda at gmail.com>:
>>>
>>> Hi everybody,
>>>
>>> I have trouble finding how to implement a MCMCglmm with log-normal
>>> error. I
>>> know some people just log-transform the response variable, but this is
>>> not
>>> the same.
>>>
>>> Many thanks in advance,
>>>
>>> Dani
>>>
>>> --
>>> Daniel Sol
>>> CREAF (Centre for Ecological Research and Forestry Applications)
>>> CSIC (Spanish National Research Council)
>>> Bellaterra, Catalonia E-08193, Spain
>>> TEL: +34 93-5814678
>>> FAX: +34 93-5814151
>>> E-MAIL: d.sol at creaf.uab.es
>>> Webpage: http://dsolrueda.wix.com/sol-group
>>>
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>>>
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>>> R-sig-mixed-models at r-project.org mailing list
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>>>
>>>
>>>
>>>
>>
>> --
>> Daniel Sol
>> CREAF (Centre for Ecological Research and Forestry Applications)
>> CSIC (Spanish National Research Council)
>> Bellaterra, Catalonia E-08193, Spain
>> TEL: +34 93-5814678
>> FAX: +34 93-5814151
>> E-MAIL: d.sol at creaf.uab.es
>> Webpage: http://dsolrueda.wix.com/sol-group
>>
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>>
>> _______________________________________________
>> R-sig-mixed-models at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>>
>>
>
>
> --
> The University of Edinburgh is a charitable body, registered in
> Scotland, with registration number SC005336.
>
>
>


-- 
Daniel Sol
CREAF (Centre for Ecological Research and Forestry Applications)
CSIC (Spanish National Research Council)
Bellaterra, Catalonia E-08193, Spain
TEL: +34 93-5814678
FAX: +34 93-5814151
E-MAIL: d.sol at creaf.uab.es
Webpage: http://dsolrueda.wix.com/sol-group

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