marked: Mark-Recapture Analysis for Survival and Abundance Estimation. Functions for fitting various models to capture-recapture data including fixed and mixed-effects Cormack-Jolly-Seber(CJS) for survival estimation and POPAN structured Jolly-Seber models for abundance estimation. Includes a CJS models that concurrently estimates and corrects for tag loss. Hidden Markov model (HMM) implementations of CJS and multistate models with and without state uncertainty.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- La Morgia, Valentina; Focardi, Stefano: Performance of distance sampling estimators: a simulation study for designs based on footpaths (2016)
- Stoklosa, Jakub; Hwang, Wen-Han; Yip, Paul S. F.; Huggins, Richard M.: Accounting for contamination and outliers in covariates for open population capture-recapture models (2016)
- McCrea, Rachel S.; Morgan, Byron J. T.: Analysis of capture-recapture data (2015)
- Laake, Jeffrey L.; Johnson, Devin S.; Diefenbach, Duane R.; Ternent, Mark A.: Hidden Markov model for dependent mark loss and survival estimation (2014)