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) and Maronde et al. (2020) .

multimark

R package for capture-recapture analysis with multiple non-invasive marks

Installation instructions

CRAN release

The package is available at . To install it:

install.packages("multimark")

Install from Github

To install the latest (stable) version of the package from Github:

library(remotes)
install_github("bmcclintock/multimark")

To install the latest (unstable) version of the package from Github:

library(remotes)
install_github("bmcclintock/multimark@develop")

References

McClintock, B.T. (2015) multimark: an R package for analysis of capture–recapture data consisting of multiple “noninvasive” marks. Ecology and Evolution, 5(21), 4920-4931.

Maronde, L., McClintock, B.T., Breitenmoser, U., Zimmermann, F. (2020) Spatial capture–recapture with multiple noninvasive marks: An application to camera-trapping data of the European wildcat (Felis silvestris) using R package multimark. Ecology and Evolution, 10(24), 13968–13979.