RMark (version 3.0.0)

crdms: Example data for Closed Robust Design Multistrata

Description

Data and Script to simulate the MSCRD example of 15.7.1 from the MARK book Cooch and White

Format

A data frame with 557 observations on the following 2 variables.

ch

a character vector of encounter histories

freq

a numeric vector of frequencies of each history

References

For Cooch and White book see http://www.phidot.org/software/mark/

Examples

# \donttest{
# This example is excluded from testing to reduce package check time
#Script to simulate the MSCRD 
#example of 15.7.1 from the MARK
#book
#created by AJP 21 Dec 2010


#convert .inp data - only needed to create crdms
#ch.data<-convert.inp("rd_simple1.inp")
data(crdms)
#set time intervals
#4 primary periods each with 3 secondary occasions
t.int<-c(rep(c(0,0,1),3),c(0,0))

#process data for RMark
crdms.data<-process.data(crdms,model="CRDMS",time.interval=t.int,
			strata.labels=c("1","U"))
#change Psi parameters that are obtained by subtraction
crdms.ddl<-make.design.data(crdms.data,
		parameters=list(Psi=list(subtract.stratum=c("1","1"))))

#create grouping index for unobserved p and c (i.e., always zero)
#up=as.numeric(row.names(crdms.ddl$p[crdms.ddl$p$stratum=="U",]))
# changed 16 Oct 2020 - jll
crdms.ddl$p$fix=ifelse(crdms.ddl$p$stratum=="U",0,NA)
crdms.ddl$c$fix=ifelse(crdms.ddl$c$stratum=="U",0,NA)

#create grouping index to fix Psi for unobs to unbos at time 1
#this isn't necessary but it allows this Psi to be fixed to a value
#that can be flagged and not erroneously interpreted
Psiuu1=as.numeric(row.names(crdms.ddl$Psi[crdms.ddl$Psi$stratum=="U"&
			crdms.ddl$Psi$time==1,]))

#create dummy variable for constraining last Psi in Markovian model
#variable is called ctime for constrained time
crdms.ddl$Psi$ctime=crdms.ddl$Psi$time
crdms.ddl$Psi$ctime[crdms.ddl$Psi$time==3]=2
do_example=function()
{
#Initial assumptions
S.dot=list(formula=~1)  #S equal for both states and constant over time
# p.session=list(formula=~session, share=TRUE,  #p=c varies with session 
# 		fixed=list(index=up,value=0)) #p set to zero for unobs
# changed 16 Oct 2020 - jll
p.session=list(formula=~session, share=TRUE)

#Model 1 - Markovian movement
Psi.markov=list(formula=~ctime+stratum,
		fixed=list(index=Psiuu1,value=9e-99)) #9e-99 is a flag
model.1=mark(crdms.data,ddl=crdms.ddl,
	model.parameters=list(S=S.dot,
		p=p.session,
		Psi=Psi.markov),threads=2,delete=TRUE)

#Model 2 - Random movement
Psi.rand=list(formula=~time)
model.2=mark(crdms.data,ddl=crdms.ddl,
	model.parameters=list(S=S.dot,
		p=p.session,
		Psi=Psi.rand),threads=2,delete=TRUE)

#Model 3 - No movement
Psi.fix=list(formula=~1,fixed=0)
model.3=mark(crdms.data,ddl=crdms.ddl,
	model.parameters=list(S=S.dot,
		p=p.session,
		Psi=Psi.fix),threads=2,delete=TRUE)
		
#collect and store models
crdms.res<-collect.models()

print(crdms.res)
invisible()
}
do_example()
# }