Hi there,
I am trying to run 4 season, 2State Occupancy model where delta and p2 are constant between seasons but p1 varies with season. I chose this parameterization because I am doing relative abundance work, and I found that when the fish were present large numbers only covariates that didn't vary with season influenced my detection. (I.e cover and method). Is the following matrix an acceptable way to reflect this desired paramaterzation (i.e. delta(.), p1(season), p2(.)):
Matrix 5: rows=25, cols=7
-,d1,d2,d3,d4,d5,d6,
dlta(1-1) 1 0 0 0 0 0
dlta(1-2) 1 0 0 0 0 0
dlta(2-1) 1 0 0 0 0 0
dlta(2-2) 1 0 0 0 0 0
dlta(3-1) 1 0 0 0 0 0
dlta(3-2) 1 0 0 0 0 0
dlta(4-1) 1 0 0 0 0 0
dlta(4-2) 1 0 0 0 0 0
p1(1-1) 0 1 0 0 0 0
p1(1-2) 0 1 0 0 0 0
p1(2-1) 0 0 1 0 0 0
p1(2-2) 0 0 1 0 0 0
p1(3-1) 0 0 0 1 0 0
p1(3-2) 0 0 0 1 0 0
p1(4-1) 0 0 0 0 1 0
p1(4-2) 0 0 0 0 1 0
p2(1-1) 0 1 0 0 0 1
p2(1-2) 0 1 0 0 0 1
p2(2-1) 0 0 1 0 0 1
p2(2-2) 0 0 1 0 0 1
p2(3-1) 0 0 0 1 0 1
p2(3-2) 0 0 0 1 0 1
p2(4-1) 0 0 0 0 1 1
p2(4-2) 0 0 0 0 1 1
Thank you!