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?
			
		
