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: | 2.2.6 |
Depends: | R (≥ 3.0) |
Imports: | optimx (≥ 2013.8.6), mgcv, methods, numDeriv, Rsolnp |
Suggests: | testthat, covr |
Published: | 2022-03-17 |
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: | https://github.com/DistanceDevelopment/mrds/ |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | Environmetrics |
CRAN checks: | mrds results |
Reference manual: | mrds.pdf |
Package source: | mrds_2.2.6.tar.gz |
Windows binaries: | r-devel: mrds_2.2.6.zip, r-release: mrds_2.2.6.zip, r-oldrel: mrds_2.2.6.zip |
macOS binaries: | r-release (arm64): mrds_2.2.6.tgz, r-oldrel (arm64): mrds_2.2.6.tgz, r-release (x86_64): mrds_2.2.6.tgz, r-oldrel (x86_64): mrds_2.2.6.tgz |
Old sources: | mrds archive |
Reverse depends: | Distance, dsm, DSsim, mads |
Reverse imports: | dsims |
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