mrds: Mark-Recapture Distance Sampling
- ️Wed Oct 23 2024
Animal abundance estimation via conventional, multiple covariate and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function fitting is performed via maximum likelihood. Also included are diagnostics and plotting for fitted detection functions. Abundance estimation is via a Horvitz-Thompson-like estimator.
| Version: | 3.0.0 |
| Depends: | R (≥ 3.0) |
| Imports: | optimx (≥ 2013.8.6), mgcv, methods, numDeriv, nloptr, Rsolnp |
| Suggests: | testthat, covr, knitr, rmarkdown, bookdown |
| Published: | 2024-10-23 |
| DOI: | 10.32614/CRAN.package.mrds |
| Author: | Laura Marshall [cre], Jeff Laake [aut], David Miller [aut], Felix Petersma [aut], Len Thomas [ctb], David Borchers [ctb], Jon Bishop [ctb], Jonah McArthur [ctb], Eric Rexstad [rev] |
| Maintainer: | Laura Marshall <lhm at st-andrews.ac.uk> |
| BugReports: | https://github.com/DistanceDevelopment/mrds/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/DistanceDevelopment/mrds/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | Environmetrics |
| CRAN checks: | mrds results |
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