Description: 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.
Packaged: 2015-04-29 20:56:45 UTC; Brett McClintock

Packaged: 2015-06-23 20:37:49 UTC; Brett McClintock

Imports: parallel, Matrix, coda, statmod, RMark, Brobdingnag, mvtnorm,
Description: 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.
Packaged: 2015-07-27 22:59:40 UTC; brett.mcclintock

Packaged: 2015-10-21 00:17:00 UTC; brett.mcclintock

Packaged: 2016-02-12 21:06:46 UTC; brett.mcclintock

The R Core Team 1996-2012 [ctb,cph] (C function 'BinDist2' obtained from package 'stats'),
The R Foundation 2005 [ctb,cph] (C function 'BinDist2' obtained from package 'stats')
Description: Different examples and methods for testing (including different proposals described in Ameijeiras-Alonso et al., 2016 <arXiv:1609.05188>) and exploring (including the mode tree, mode forest and SiZer) the number of modes using nonparametric techniques.