[R-sig-ME] Advice on model selection procedure in glmer
David Duffy
David.Duffy at qimr.edu.au
Fri Mar 6 01:54:28 CET 2009
On Thu, 5 Mar 2009, Achaz von Hardenberg wrote:
> Dear list members,
>
> I am analyzing data on Golden eagle productivity (PROD = number of
> chicks fledging for each eagle couple each year) to see how it is
> influenced by various meteorological factors, Nearest neighbor
> distance (NND) and reproductive success the year before (back1) and
> two years before (back2). for each nest/couple (Nterr) we have one
> PROD measure for each year of the study (about 20 years). PROD varies
> between 0 and 3.
> AIC BIC logLik deviance
> 246.7 271.8 -116.4 232.7
> Random effects:
> Groups Name Variance Std.Dev.
> anno (Intercept) 0.0056248 0.074999
> Nterr (Intercept) 0.0324398 0.180111
> Number of obs: 266, groups: anno, 24; Nterr, 22
>
> Fixed effects:
> Estimate Std. Error
> (Intercept) -1.016941 0.279004
> back1 -0.067498 0.146796
> back2 0.181103 0.136243
> NND 0.029392 0.053093
> Pcrescita 0.003070 0.003008
>
> removed df AIC BIC Loglik
> FULL 7 246.73 271.82 -116.37
> Back1 6 257.79 279.68 -122.89
> Back2 6 259.03 280.97 -123.52
> NND 6 281.81 304.34 -134.91
> Pcrescita 6 276.86 299.16 -132.43
>
> I would really like to know if you think this model selection
> procedure is correct.
I don't pretend to have any deep understanding, but it seems plausible to
me. I am curious about your including Back1 and Back2 as fixed effects,
given they are partly measures of the "couple fitness" latent variable
NTerr. Do you actually need Nterr if these are included? And since PROD
has so few levels, you can check whether Poisson is a good representation,
and how your predictions are (crossvalidation), maybe compare
results from gamm (in the mgcv package). Are you interested in
just predicting PROD for next year?
David Duffy.
--
| David Duffy (MBBS PhD) ,-_|\
| email: davidD at qimr.edu.au ph: INT+61+7+3362-0217 fax: -0101 / *
| Epidemiology Unit, Queensland Institute of Medical Research \_,-._/
| 300 Herston Rd, Brisbane, Queensland 4029, Australia GPG 4D0B994A v
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