Spatially Explicit Capture–Recapture Study Design

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Description

Tools to assist the design of spatially explicit capture–recapture studies of animal populations.

Details

Package: secr
Type: Package
Version: 2.4.0
Date: 2016-04-23
License: GNU General Public License Version 2 or later

The primary use of secrdesign is to predict by Monte Carlo simulation the precision or bias of density estimates from different detector layouts, given pilot values for density and the detection parameters lambda0/g0 and sigma.

The important functions in secrdesign are:

make.scenarios generate dataframe of parameter values etc.
scenariosFromStatistics match specified n, r
run.scenarios perform simulations, with or without model fitting
fit.models fit SECR model(s) to rawdata output from run.scenarios
predict.fittedmodels infer `real' parameter estimates from fitted models
select.stats collect output for a particular parameter
summary.selectedstatistics numerical summary of results
plot.selectedstatistics histogram or CI plot for each scenario

Documentation is provided in a vignette ../doc/secrdesign-vignette.pdf; an Appendix has code for various examples that should help get you started. The help pages are also available as ../doc/secrdesign-manual.pdf.

Author(s)

Murray Efford murray.efford@otago.ac.nz

See Also

make.grid, sim.popn, sim.capthist, secr.fit