| 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 |
| confint.admbsecr | Confidence intervals for admbsecr 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.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.capt | Extracting capture history object |
| get.mask | Extracting mask point locations |
| get.mce | Extracting Monte Carlo error |
| get.par | Extract estimated or fixed parameter values from an... |
| 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. |
| par.admbsecr | Parallelising admbsecr fits using a cluster |
| p.dot | Calculating detection probabilities. |
| secr_nll | Evaluating the likelihood using C++ |
| 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... |
| summary.admbsecr | Summarising admbsecr model fits |
| test.admbsecr | Run admbsecr tests |
| vcov.admbsecr | Extract the variance-covariance matrix from an admbsecr model... |
| vcov.admbsecr.boot | Extract the variance-covariance matrix from a bootstrapped... |
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