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 |