marked: an R package for maximum likelihood and Markov Chain Monte Carlo analysis of capture–recapture data

Summary We describe an open‐source r package, marked, for analysis of mark–recapture data to estimate survival and animal abundance. Currently, marked is capable of fitting Cormack–Jolly–Seber (CJS) and Jolly–Seber models with maximum likelihood estimation (MLE) and CJS models with Bayesian Markov C...

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Veröffentlicht in:	Methods in ecology and evolution 2013-09, Vol.4 (9), p.885-890
Hauptverfasser:	Laake, Jeff L., Johnson, Devin S., Conn, Paul B., Isaac, Nick
Format:	Artikel
Sprache:	eng
Schlagworte:	Automatic Differentiation Model Builder Bayesian analysis capture–recapture Cormack–Jolly–Seber Jolly–Seber Markov analysis Markov Chain Monte Carlo mark–recapture Monte Carlo simulation Population Analysis Studies
Online-Zugang:	Volltext
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