mra-package: MRA - Mark Recapture Analysis

Description Details Author(s) References


Description - This package contains analysis functions, and associated routines, to conduct analyses of mark-recapture (capture-recapture) data using individual, time, and individual-time varying covariates. In general, these routines relate vectors of capture histories to vectors of covariates using a regression approach (Amstrup et al. 2005, Ch 9). All capture, survival, transition, etc. parameters are functions of individual and time specific covariates, and the estimated parameters are coefficients in logistic-linear equations.

Relationship to MARK - For the most part, these routines perform a subset of the analyses available in program MARK or via the MARK front-end package, RMark. The most significant difference between this package and MARK is parameterization. The parameterization used here does not utilize triangular "parameter information matrices" (PIMs) as MARK (and RMark) does. Because of this, the "design" matrix utilized by this package is not parallel to the "design" matrix of program MARK. For those new to mark-recapture analysis, this parameterization difference will be inconsequential. The approach taken here provides equivalent modeling flexibility, yet is easier to grasp and visualize, in our opinion. For those already familiar with the PIMs used by program MARK, it is helpful to view the "PIMs" of this package as rectangular matrices of the real parameters. I.e., the "PIMs" of this package are rectangular matrices where cell (i,j) contains the real parameter (capture or survival) for individual i at capture occasion j.

Analyses available here that are not included in program MARK include:

Future Research - The author of MRA welcome interest in and routines that perform the following analyzes:


Package: mra
Type: Package
License: GNU General Public License


Trent McDonald

Maintainer: Trent McDonald <[email protected]>


Amstrup, S.C., T.L. McDonald, and B.F.J. Manly. 2005. Handbook of Capture-Recapture Analysis, Princeton: Princeton University Press.

mra documentation built on Oct. 7, 2017, 5:03 p.m.