RMark

The RMark package is a collection of R functions that can be used as an interface to MARK for analysis of capture-recapture data. The package contains various functions that import/export capture data, build capture-recapture models, run the FORTRAN program MARK.EXE, and extract and display output. Program MARK has its own user interface; however, model development can be rather tedious and error-prone because the parameter structure and design matrix are created by hand. This interface in R was created to use the formula and design matrix functions in R to ease model development and reduce errors. For more details about its capabilities, download the following RMark documentation archive.

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References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
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  1. Conn, Paul B.; Alisauskas, Ray T.: Simultaneous modelling of movement, measurement error, and observer dependence in mark-recapture distance sampling: an application to arctic bird surveys (2018)
  2. McCrea, Rachel S.; Morgan, Byron J. T.: Analysis of capture-recapture data (2015)
  3. Thomas Yee; Jakub Stoklosa; Richard Huggins: The VGAM Package for Capture-Recapture Data Using the Conditional Likelihood (2015) not zbMATH
  4. Worthington, Hannah; King, Ruth; Buckland, Stephen T.: Analysing mark-recapture-recovery data in the presence of missing covariate data via multiple imputation (2015)
  5. Laake, Jeffrey L.; Johnson, Devin S.; Diefenbach, Duane R.; Ternent, Mark A.: Hidden Markov model for dependent mark loss and survival estimation (2014)
  6. Stoklosa, Jakub; Dann, Peter; Huggins, Richard: Inference on partially observed quasi-stationary Markov chains with applications to multistate population models (2012)