Appendix A. User defined code for single-season models that are not in pre-defined list. The code is consistent with the format used in analysis software such as programs MARK, PRESENCE, and GENPRES.
Model: psi(.)p(linear)
proc estimate link=Logit varest=2ndPart;
model={psi(.)p(linear)};
group=1 p rows=1 cols=8 Square;
1 1 2 2 3 3 4 4;
group=1 Psi rows=1 cols=1 Square;
5;
design matrix constraints=5 covariates=3;
1 1 0;
1 2 0;
1 3 0;
1 4 0;
0 0 1;
blabel(1)=b0;
blabel(2)=b1;
blabel(3)=bpsi;
rlabel(1)=p;
rlabel(2)=p;
rlabel(3)=p;
rlabel(4)=p;
rlabel(5)=Psi;
Model: psi(.)p(month)
proc estimate link=Logit varest=2ndPart;
model={psi(.)p(month)};
group=1 p rows=1 cols=8 Square;
1 1 1 1 2 2 2 2;
group=1 Psi rows=1 cols=1 Square;
3;
design matrix constraints=3 covariates=3
identity;
blabel(1)=p;
blabel(2)=p;
blabel(3)=psi;
rlabel(1)=p;
rlabel(2)=p;
rlabel(3)=Psi;
Model: psi(.)p(biweek)
proc estimate link=Logit varest=2ndPart;
model={psi(.)p(2week)};
group=1 p rows=1 cols=8 Square;
1 1 2 2 3 3 4 4;
group=1 Psi rows=1 cols=1 Square;
5;
design matrix constraints=5 covariates=5
identity;
blabel(1)=p;
blabel(2)=p;
blabel(3)=p;
blabel(4)=p;
blabel(5)=psi;
rlabel(1)=p;
rlabel(2)=p;
rlabel(3)=p;
rlabel(4)=p;
rlabel(5)=Psi;
Model: psi(.)p(obs)
proc estimate link=Logit varest=2ndPart;
model={psi(.)p(obs)};
group=1 p rows=1 cols=8 Square;
1 2 1 2 1 2 1 2;
group=1 Psi rows=1 cols=1 Square;
3;
design matrix constraints=3 covariates=3
identity;
blabel(1)=p;
blabel(2)=p;
blabel(3)=psi;
rlabel(1)=p;
rlabel(2)=p;
rlabel(3)=Psi;