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.

parallel, Matrix, coda, statmod, RMark, Brobdingnag, mvtnorm,
graphics, methods, stats, utils
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 capture-recapture data consisting of a single conventional mark or multiple non-invasive marks.

parallel, Matrix, coda, statmod, RMark, Brobdingnag, mvtnorm,
graphics, methods, stats, utils, prodlim, sp, raster
c(person("Brett T.", "McClintock", email = "brett.mcclintock@noaa.gov",role = c("aut", "cre")),person("Acho", "Arnold",role = c("ctb","cph"), comment = "C original matrix library, https://github.com/najela/matrix.h"),person("Barry", "Brown",role = "ctb", comment = "Fortran original ranlib library"),person("James", "Lovato",role = "ctb", comment = "Fortran original ranlib library"),person("John", "Burkardt",role = "ctb", comment = "C original ranlib library, http://people.sc.fsu.edu/~jburkardt/c_src/ranlib"),person("Cleve", "Moler",role = "ctb", comment = "C original linpack library, http://www.kkant.net/geist/ranlib/"),person("Arjun", "Gopalaswamy",role = "ctb", comment = "modified snippets of R package SPACECAP code"))
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.
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)