Dear Thierry,

Thank you for your reply. I wonder whether it would be possible to do something with zero-inflated models of type 0: see http://www.math.ntnu.no/inla/r-inla.org/doc/likelihood/zeroinflated.pdf, first equation on page 1.

All the best

Renaud

Le 17/02/2017 à 15:29, Thierry Onkelinx a écrit :
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.lance...@cirad.fr
<mailto:renaud.lance...@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

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--
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/
CIRAD, UMR ASTRE, Campus International de Baillarguet TA A-DIR / B
F34398 Montpellier

Tel.  +33 4 67 59 37 17  -  Fax  +33 4 67 59 37 98
Secr. +33 4 67 59 37 37  - Cell. +33 6 77 52 08 69
Twitter: @RenaudLancelot

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