Hi- I am working on multistate occupancy modeling in PRESENCE. I need some help in designing the matrix for the same. I have been entering the data in the following way:
a1 a2 a3 a4
psi 1 0 0 0
R 0 1 cov1 cov2
b1 b2 b3 b4
p1(1) 1 0 int 0
p1(2) 1 0 int 0
p1(3) 1 0 int 0
p2(1) 0 1 0 int
p2(2) 0 1 0 int
p2(3) 0 1 0 int
c1
delta(1) 1
delta(2) 1
delta(3) 1
where occupancy is kept constant, state 2 (R) is varied by two covariates (cov1 and cov2), and both the detection probabilities (p2 & p2) are varied by the same covariate (int) while delta is kept constant. I just wished to know If the above design matrix is correct or there is some error in designing the matrix. Also, I have a doubt in two parameters, delta (probability of correcting identifying breeders given presence) and p12 (probability of observing species in state 2, given the true state being 1). Are both delta and p12 different or the same? Can some please explain both the parameters in brief?