SECR models with supplementary location information

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Documentation for package ‘admbsecr’ version 1.0.6

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admbsecr Fitting SECR models in ADMB
AIC.admbsecr Extract AIC from an admbsecr model object
bearings Calculating bearings between two sets of points
boot.admbsecr Bootstrapping SECR data
coef.admbsecr Extract admbsecr model coefficients
coef.admbsecr.boot Extract admbsecr model coefficients
confint.admbsecr Confidence intervals for admbsecr model parameters
confint.admbsecr.boot Confidence intervals for admbsecr model parameters
convert.capt Convert capture history object
convert.mask Convert mask object
convert.pamguard Create a capture history object from a PAMGuard output file
convert.traps Convert traps object
create.capt Creating capture history object.
create.mask Create mask object
distances Calculating distances between two sets of points
example Example data
get.bias Extracting estimated biases
get.mask Extracting mask point locations
get.mce Extracting Monte Carlo error
get.par Extract estimated or fixed parameter values from an 'admbsecr' model fit
get.traps Extracting trap locations
lightfooti _Arthroleptella lightfooti_ survey data
locations Plotting estimated locations
make.acoustic.captures Assigning ID numbers to sounds.
show.detfn Plotting a detection function.
show.detsurf Plotting the detection probability surface
show.survey Plotting mask and trap layout
sim.capt Simulating SECR data
stdEr.admbsecr Extract standard errors from an admbsecr model fit
stdEr.admbsecr.boot Extract standard errors from a bootstrapped admbsecr model object
summary.admbsecr Summarising admbsecr model fits
test.admbsecr Run admbsecr tests
vcov.admbsecr Extract the variance-covariance matrix from an admbsecr model object
vcov.admbsecr.boot Extract the variance-covariance matrix from a bootstrapped admbsecr model object