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>.

Getting started

Package details

AuthorBrett T. McClintock [aut, cre], Acho Arnold [ctb, cph] (C original matrix library,, Barry Brown [ctb] (Fortran original ranlib library), James Lovato [ctb] (Fortran original ranlib library), John Burkardt [ctb] (C original ranlib library,, Cleve Moler [ctb] (C original linpack library,, Arjun Gopalaswamy [ctb] (modified snippets of R package SPACECAP code)
MaintainerBrett T. McClintock <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the multimark package in your browser

Any scripts or data that you put into this service are public.

multimark documentation built on Sept. 15, 2021, 9:07 a.m.