The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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 |
| Reference manual: | multimark.pdf |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=multimark to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.