Hi there,
I am doing a Hines correlated detection model and when using unique(fitted) argument in PResence to get the estimates of detection probability from my top detection model why do I get for 4 unique values (pasted below), shouldn't I be getting one unique estimate (detection probability) same happens with the top psi models for getting the psi estimates. I don't know maybe I am using the argument in an incorrect way. I would really appreciate if I could get some help on how do I check my psi and p values from my top models (or any models).
Thanks
Shashank
> unique(fitted(p.forest.lvst, "p"))
est se lower_0.95 upper_0.95
p(1)_unit1 0.2517222 0.1069606 0.09953267 0.5058827
p(1)_unit2 0.6457426 0.1312252 0.37193249 0.8487319
p(1)_unit3 0.5161404 0.1165403 0.29942687 0.7269488
p(1)_unit4 0.8525080 0.1414109 0.38939456 0.9812692