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.

Install the latest version of this package by entering the following in R:
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)
Date of publication2016-09-02 12:17:15
MaintainerBrett T. McClintock <>

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Man pages


bobcat Man page
getdensityClosedSCR Man page
getprobsCJS Man page
getprobsClosed Man page
getprobsClosedSCR Man page
markCJS Man page
markClosed Man page
markClosedSCR Man page
multimarkCJS Man page
multimarkClosed Man page
multimarkClosedSCR Man page
multimarkSCRsetup-class Man page
multimarksetup-class Man page
multimodelCJS Man page
multimodelClosed Man page
multimodelClosedSCR Man page
plotSpatialData Man page
processdata Man page
processdataSCR Man page
simdataCJS Man page
simdataClosed Man page
simdataClosedSCR Man page
tiger Man page

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