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RMark : an R Interface for analysis of capture-recapture data with MARK
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RMark provides a formula-based interface for analysis of capture-recapture data with the program MARK, which reduces the development time of models and removes the potential for errors introduced from manual creation of design matrices in MARK.Abstract:
RMark provides a formula-based interface for analysis of capture-recapture data with the program MARK. RMark reduces the development time of models and removes the potential for errors introduced from manual creation of design matrices in MARK. By providing an interface to MARK in R, all of the tools in R can be accessed to extract and manipulate data, plot or simulate. It also provides the potential to include MARK analysis in a reproducible document with Sweave and LTEX. I demonstrate RMark using the commonly analyzed European dipper data.read more
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References
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Journal Article
R: A language and environment for statistical computing.
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Journal ArticleDOI
Program MARK: survival estimation from populations of marked animals
Gary C. White,Kenneth P. Burnham +1 more
TL;DR: Mark as discussed by the authors provides parameter estimates from marked animals when they are re-encountered at a later time as dead recoveries, or live recaptures or re-sightings.
Journal ArticleDOI
Modeling Survival and Testing Biological Hypotheses Using Marked Animals: A Unified Approach with Case Studies
TL;DR: A recent survey of capture-recapture models can be found in this article, with an emphasis on flexibility in modeling, model selection, and the analysis of multiple data sets.
Modeling Survival and Testing Biological Hypotheses Using Marked Animals: A Unified
TL;DR: This paper synthesizes, using a common framework, recent developments of capture-recapture models oriented to estimation of survival rates together with new ones, with an emphasis on flexibility in modeling, model selection, and the analysis of multiple data sets.
Book ChapterDOI
Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis
TL;DR: Sweave combines typesetting with LATEX and data anlysis with S into integrated statistical documents that can be automatically updated if data or analysis change, which allows truly reproducible research.
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Program MARK: survival estimation from populations of marked animals
Gary C. White,Kenneth P. Burnham +1 more