AIC.ascr | Extract AIC from an ascr model object |
ascr | ascr: A package to fit acoustic spatial capture-recapture... |
bearings | Calculating bearings between two sets of points |
boot.ascr | Bootstrapping a fitted ascr model |
coef.ascr | Extract ascr model coefficients |
confint.ascr | Confidence intervals for ascr model parameters |
convert.capt | Capture history conversion. |
convert.mask | Convert mask object |
convert.pamguard | Create a capture history object from a PAMGuard output file |
convert.raven | Create a capture history object from a Raven output file |
convert.traps | Convert traps object |
create.capt | Creating capture history object. |
create.mask | Create mask object |
detfn | Calculating the detection function from a fitted model... |
distances | Calculating distances between two sets of points |
example.data | Example data |
fit.ascr | Fitting acoustic SCR models |
get.bias | Extracting estimated biases |
get.capt | Extracting the capture histories |
get.mask | Extracting mask point locations |
get.mce | Extracting Monte Carlo error |
get.par | Extract estimated or fixed parameter values from an 'ascr'... |
get.traps | Extracting trap locations |
lightfooti | _Arthroleptella lightfooti_ survey data |
locations | Plotting estimated locations |
make.acoustic.captures | Assigning ID numbers to sounds |
mask.test | Testing the mask object for a first calls model |
multi.example.data | Multi-array example data |
par.fit.ascr | Parallelising ascr fits using a cluster |
p.dot | Calculating detection probabilities |
predict.ascr | Extract density estimates given a set of covariate values |
secr_nll | Evaluating the likelihood using C++ |
show.capt | Plotting capture histories |
show.detfn | Plotting a detection function. |
show.detsurf | Plotting the detection probability surface |
show.Dsurf | Plotting an estimated density surface. |
show.survey | Plotting mask and trap layout |
sim.capt | Simulating SCR data |
stdEr.ascr | Extract standard errors from an ascr model fit |
stdEr.ascr.boot | Extract standard errors from a bootstrapped ascr model object |
subsample.se | Combining subsamples to obtain a standard error. |
summary.ascr | Summarising ascr model fits |
test.ascr | Run ascr tests |
vcov.ascr | Extract the variance-covariance matrix from an ascr model... |
vcov.ascr.boot | Extract the variance-covariance matrix from a bootstrapped... |
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