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: | 2.2.3 |
| Depends: | R (≥ 3.0) |
| Imports: | optimx (≥ 2013.8.6), mgcv, numDeriv, Rsolnp |
| Suggests: | testthat, covr |
| Published: | 2020-07-31 |
| Author: | Jeff Laake, David Borchers, Len Thomas, David Miller and Jon Bishop |
| 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: | http://github.com/DistanceDevelopment/mrds/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | Environmetrics |
| CRAN checks: | mrds results |
| Reference manual: | mrds.pdf |
| Package source: | mrds_2.2.3.tar.gz |
| Windows binaries: | r-devel: mrds_2.2.3.zip, r-release: mrds_2.2.3.zip, r-oldrel: mrds_2.2.3.zip |
| macOS binaries: | r-release: mrds_2.2.3.tgz, r-oldrel: mrds_2.2.3.tgz |
| Old sources: | mrds archive |
| Reverse depends: | Distance, dsm, DSsim, mads |
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