[R-sig-Geo] How to fit a spatial hurdle model with the INLA package ?
Thierry Onkelinx
thierry.onkelinx at inbo.be
Fri Feb 17 15:29:04 CET 2017
Dear Renaud,
IMHO you can't. INLA currently only fits zero-inflated distributions (with
a single zero-inflation parameter). A hurdle model would require to fit a
zero-truncated distribution.
Best regards,
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
2017-02-17 13:10 GMT+01:00 lancelot <renaud.lancelot at cirad.fr>:
> Dear all,
>
> I am looking for an example (dataset and code) of fitting a spatial hurdle
> model (zero-inflated model with a single source of zeros) using the INLA
> package for R. With this approach, two models are jointly fitted:
>
> (1) the probability to observe at least one event (the single source of
> zeros)
>
> (2) the (strictly > 0) count of events
>
> The spatial correlation might be represented by a conditional
> auto-regressive model.
>
> I am aware of the R-!NLA documentation available at http://www.r-inla.org/
>
> All the best
>
> Renaud
> --
> Renaud Lancelot
> UMR Animaux, Santé, Territoires, Risques et Écosystèmes
> Animals, Health, Territories, Risks & Ecosystems (ASTRE)
> Adjoint au Directeur / Deputy director
>
> http://umr-astre.cirad.fr/
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>
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