Hello,

I am running single-specie single-season false-positive models with the interview data in PRESENCE. I have three covariates for modeling the detection probability, in which gender is categorical, age is continuous and time spend is also categorical.

I want to know how to enter the categorical variable in the design matrix of detection probability. I have two categories male and female which I have entered in the detection covariates file as follows:

1 2 3

A4 M M M

A5 M F M

A6 F M M

I have converted them into two indicator variables where Male is represented by 1 and female is represented by 0. The detection probability design matrix is as follows:

b1 b2 b3 b4

p1(1) 1 0 0 0

p1(2) 1 0 0 0

p1(3) 1 0 0 0

p10(1) 0 1 0 Gender

p10(2) 0 1 0 Gender

p10(3) 0 1 0 Gender

b1(1) 0 0 1 0

b1(2) 0 0 1 0

b1(3) 0 0 1 0

I have kept p1 and b1 constant but the p10 is varied with the gender covariate. I just wish to know if it is the right way to enter the categorical covariates in the detection probability design matrix or if there is some other way. I was not able to find how to enter categorical covariates for detection probability but for occupancy probability, it is given in manuals.

Thank You