Fits an SSCR model. Estimation is by maximum likelihood. The second-order spatial dependence is modelled via trap-level 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 additional 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 vector of parameter start values. |
fix |
A named vector of parameter values that are fixed in the
model. Supercedes values provided in |
toa |
A matrix with the same dimensions as |
trace |
Logical. If |
test |
Logical. If |
test.conditional.n |
Logical. If |
hess |
Logical. If |
exact.gr |
Logical. If |
optim.fun |
A character string representing the R function to
maximise the likelihood. This can be |
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