Are you aware of Quiroz et al. 2015? I think it is what you need, or
very close. And they provide data and code.
There is also Muñoz et al. 2016 (Disclaimer, that's me), which uses a
joint model Bernoulli for zeros and Gamma for >0, with spatial-temporal
effect via SPDE. The data and code are avai
That allows for a hurdle model with an intercept only model for the zeroes.
Your initial question suggests that you want a more complex model for the
zeroes.
Op 17 feb. 2017 5:38 p.m. schreef "lancelot" :
Dear Thierry,
Thank you for your reply. I wonder whether it would be possible to do
somethi
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 Onkel
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
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
