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 J?rg,
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 J?rg Albrecht <albrechj at staff.uni-marburg.de>:
Hi Dani,
you could try specifying
family = "poisson".
Best,
J?rg
?
J?rg 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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