mrds: Mark-Recapture Distance Sampling

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:	2.3.0
Depends:	R (≥ 3.0)
Imports:	optimx (≥ 2013.8.6), mgcv, methods, numDeriv, Rsolnp
Suggests:	testthat, covr, knitr, rmarkdown, bookdown
Published:	2023-12-18
DOI:	10.32614/CRAN.package.mrds
Author:	Jeff Laake, David Borchers, Len Thomas, David Miller, Jon Bishop and Jonah McArthur
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

Documentation:

Reference manual:

mrds.pdf

Downloads:

Package source:	mrds_2.3.0.tar.gz
Windows binaries:	r-devel: mrds_2.3.0.zip, r-release: mrds_2.3.0.zip, r-oldrel: mrds_2.3.0.zip
macOS binaries:	r-release (arm64): mrds_2.3.0.tgz, r-oldrel (arm64): mrds_2.3.0.tgz, r-release (x86_64): mrds_2.3.0.tgz, r-oldrel (x86_64): mrds_2.3.0.tgz
Old sources:	mrds archive

Reverse dependencies:

Reverse depends:	Distance, dsm
Reverse imports:	dsims

Linking:

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