multimark: Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks

Traditional and spatial capture-mark-recapture analysis with multiple non-invasive marks. The models implemented in 'multimark' combine encounter history data arising from two different non-invasive "marks", such as images of left-sided and right-sided pelage patterns of bilaterally asymmetrical species, to estimate abundance and related demographic parameters while accounting for imperfect detection. Bayesian models are specified using simple formulae and fitted using Markov chain Monte Carlo. Addressing deficiencies in currently available software, 'multimark' also provides a user-friendly interface for performing Bayesian multimodel inference using non-spatial or spatial capture-recapture data consisting of a single conventional mark or multiple non-invasive marks. See McClintock (2015) <doi:10.1002/ece3.1676> and Maronde et al. (2020) <doi:10.1002/ece3.6990>.

Version: 2.1.6
Depends: R (≥ 3.2.1)
Imports: parallel, Matrix, coda, statmod, RMark, Brobdingnag, mvtnorm, graphics, methods, stats, utils, prodlim, sp, raster
Suggests: testthat
Published: 2023-03-10
DOI: 10.32614/CRAN.package.multimark
Author: Brett T. McClintock [aut, cre], Acho Arnold [ctb, cph] (C original matrix library, https://github.com/najela/matrix.h), Barry Brown [ctb] (Fortran original ranlib library), James Lovato [ctb] (Fortran original ranlib library), John Burkardt [ctb] (C original ranlib library, http://people.sc.fsu.edu/~jburkardt/c_src/ranlib), Cleve Moler [ctb] (C original linpack library, http://www.kkant.net/geist/ranlib/), Arjun Gopalaswamy [ctb] (modified snippets of R package SPACECAP code)
Maintainer: Brett T. McClintock <brett.mcclintock at noaa.gov>
License: GPL-2
NeedsCompilation: yes
Citation: multimark citation info
Materials: README NEWS
CRAN checks: multimark results

Documentation:

Reference manual: multimark.pdf

Downloads:

Package source: multimark_2.1.6.tar.gz
Windows binaries: r-devel: multimark_2.1.6.zip, r-release: multimark_2.1.6.zip, r-oldrel: multimark_2.1.6.zip
macOS binaries: r-release (arm64): multimark_2.1.6.tgz, r-oldrel (arm64): multimark_2.1.6.tgz, r-release (x86_64): multimark_2.1.6.tgz, r-oldrel (x86_64): multimark_2.1.6.tgz
Old sources: multimark archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=multimark to link to this page.