Fits an SSCR model. Estimation is by maximum likelihood. The secondorder spatial dependence is modelled via traplevel random effects for each detected individual. The likelihood function is calculated by integrating over these random effects using the Laplace approximation.
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capt 
A capture history object. It should be a matrix, where the jth element of the ith row should provide a detection record of the ith individual at the jth detector. 
traps 
A matrix with two columns, providing the Cartesian coordinates of the detector locations. 
mask 
A mask object for integration over the survey area. 
resp 
Response distribution for capture history
elements. Either 
resp.pars 
A named vector of known, fixed parameters for the
response distribution. If 
detfn 
Detection function, given by a character string. Use

cov.structure 
Covariance structure of the random
effects. The current options are (1) 
re.multiplier 
A character string specifying how the expected
encounter rate is calculated from the random effect. This is
either (1) 
start 
A named list of parameter start values. 
toa 
A matrix with the same dimensions as 
trace 
Logical. If 
test 
Logical. If 
test.conditional.n 
Logical. If 
hess 
Logical. If 
optim.fun 
A character string representing the R function to
maximise the likelihood. This can be 
manual.sep 
Logical. If 
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