Dear Chris,
I assume that you don't have any replicate observations per site-year combination, right ?
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Unfortunately, in unmarked there is no way to fix a parameter at a certain value such as 0 or 1. (Personally, I'd think this would be quite useful, but of course I have no clue about how hard this would be to
implement !). You can, however, trick unmarked into fixing p at 1 by duplicating your detection data, so that instead of having a 0 you then have 0-0 and instead of a 1 you have 1-1. Since you then never have a "mixed" detection history per site-year combo,
this makes unmarked believe that detection is perfect. You will change likelihood values etc, but for inference relative changes in the likelihood are all that counts, therefore, I don't think that this is a problem.
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To be honest, I am not sure how unmarked deals with missing primary periods in the context of this model fitting function. You could try to supply the data set with all-NA data filled in at the missing years and
that would probably work (it would definitely work with a Bayesian analysis with JAGS and NIMBLE).
Best wishes -- Marc
Sent: Wednesday, October 8, 2025 07:52
To: unmarked <
unma...@googlegroups.com>
Subject: [unmarked] Fixing detection at 100% with colext
Dear Unmarked community,
First off, thanks for making such an awesome package that makes it easy for field ecologists to get meaningful answers to our questions.
I am trying to analyze an occupancy 4 year dataset on Daurian Pika from Mongolia (a species with few published studies) with data from 2019, 2021, 2022, and 2025. We measure occupancy by checking every burrow entrance within a plot for fresh green
scat, and have estimated detection probability around 100%. My 2 questions are:
1) Using function colext, is there a way to fix detection probability at 1, and does this interfere with estimation of other parameters?
2) Does the gap in years present a problem?
Thanks,
Chris
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