Hello I am working on CMR model with robust design using your RMark pakage , on Rstudio to analyse photo ID data. One of my most important covariates, as I am working, with opportunistic data is the relative effort during my occasions.

I wasn't able to find any example on time covariate incorporation online, and I having some troubles trying to implement it in my probability of detection

I can formulate this effort in term of secondary occasions as well as primary occasions.

I'm wondering if you know any example using the effort this way, as a time covariates, and the way to edit in my code. Mk is my covariate in this case, and I want it to impact p estimation

Thank you very much for any help

time.intervals<-c(0,1,0,0,1,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,1,

0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,

0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,

0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,

0,0,0,0,0,0)

M.proc<-process.data(FD,model="Robust", time.intervals=time.intervals)

p.time.session=list(formula=~time*Mk,share=TRUE)

S.time=list(formula=~time)

GammaDoublePrime.random=list(formula=~time,share=TRUE)

design.parameters=list(S=S.time,

GammaDoublePrime=GammaDoublePrime.random,p=p.time.session)

M.ddl=make.design.data(M.proc,parameters=design.parameters)

model.2=mark(M.proc,M.ddl, model = "Robust",

time.intervals=time.intervals,

model.parameters=design.parameters,threads=2)