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.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- McCrea, Rachel S.; Morgan, Byron J. T.: Analysis of capture-recapture data (2015)
- Worthington, Hannah; King, Ruth; Buckland, Stephen T.: Analysing mark-recapture-recovery data in the presence of missing covariate data via multiple imputation (2015)
- Laake, Jeffrey L.; Johnson, Devin S.; Diefenbach, Duane R.; Ternent, Mark A.: Hidden Markov model for dependent mark loss and survival estimation (2014)
- Stoklosa, Jakub; Dann, Peter; Huggins, Richard: Inference on partially observed quasi-stationary Markov chains with applications to multistate population models (2012)