Dear list members,
I fitted several occupancy models using Presence, but the first 2 models (the 1st has a weight of 0.88) have very low precision on the parameter estimates and some of the parameters were not estimated (the model have too many parameters). However the 3rd model has good estimates with reasonable precision. What should I do? Is it possible to discard the 2 first models based on the lack of precision and difficulty to estimate some parameters?
Is it appropriate to say: "I did not consider the first 2 models given their lack of precision on the parameter estimates"?
Thank you very much in advance.
Best,
Manuel