I am using a binomial mixture model to estimate abundance (N) and
detection probability (p) using simulated count data:
-Each site has a simulated abundance that follow a Poisson
distribution with lambda = 5
-There are 200 simulated sampled sites
-3 repeated counts at each site
- only 50 percent of
julien martin gmail.com> writes:
> (2) The second part of the script calls WinBUGS and run the binomial
> mixture models on the count data. In this case the count matrix y was
> converted to a vector C1 before being passed over to BUGS
> Any idea how to create a zero truncated Poisson for paramet
Hi,
I have a very similar problem...
In some sites, counts data>0
In the other sites, counts = 0
I already applied zero inflated models with the zero-trick (Martin et al
2005 in Ecology letters), but I would like to use truncated distributions
(Poisson and negative binomial) to model my counts in o
On Thu, 3 Mar 2011, Timothée wrote:
Hi,
I have a very similar problem...
In some sites, counts data>0
In the other sites, counts = 0
I already applied zero inflated models with the zero-trick (Martin et al
2005 in Ecology letters), but I would like to use truncated distributions
(Poisson and neg
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