LogitNormalMR | R Documentation |
Data and example illustrating LogitNormal Mark-Resight model.
A data frame with 35 observations on the following variable.
a character vector
data(LogitNormalMR) logitNor.proc=process.data(LogitNormalMR,model="LogitNormalMR", counts=list("Unmarked seen"=c(96,68,59), "Marked Unidentified"=c(0,0,0,0,1,1,1,0,0,3,0,1)), time.intervals=c(0,0,0,1,0,0,0,1,0,0,0)) logitNor.ddl=make.design.data(logitNor.proc) # Note that to get good starting values yo should specify a formula that allows use of the sin link # MARK will ignore the use of the sin link and use log for parameters N and sigma # after fitting this intial model you can use it for starting values with other model that # do not require the sin link but always check to make sure the model is converging to # reasonable values. mod=mark(logitNor.proc,logitNor.ddl, model.parameters=list(N=list(formula=~-1+session,link="sin"), sigma=list(formula=~-1+session,link="sin"),p=list(formula=~1,link="sin")),delete=TRUE) summary(mod)
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