Message-ID: <8da9ca34-d3ce-aba4-7331-0f17ea3770ee@cefe.cnrs.fr>
Date: 2018-03-13T14:53:11Z
From: Marie RESCAN
Subject: Data augmentation in TMB?
Dear R-sig-mixed-model users,
I am currently fitting state space models using the TMB package and I
would like to know if anyone have already implemented data augmentation
in this package.
My data consist of time series of 3 simultaneous types of observations
of latent processes (dynamics of experimental populations of microalgae
replicated in batch). I would like to fit a state space model on this
data set, but many observations are missing:
- For two observation methods, I cannot get population size estimation
when the number of individuals is too low
- For the last observation method, I got data only half of the time.
I became aware that points in the latent process would not affect
equally the when they do not have the same number of observations, which
may be a problem to estimate process parameters.
I would appreciate any suggestions to deal with this problem.
Thanks,
Marie
--
Marie Rescan, PhD
Post doctorante
Centre d'?cologie fonctionnelle et ?volutive - CEFE
UMR 5175
Equipe G?n?tique & Ecologie ?volutive - GEE
1919, route de Mende
34 293 Montpellier Cedex 5
FRANCE
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