mra: Analysis of Mark-Recapture Data

Analysis of mark-recapture data using covariates. Models: CJS open population; Huggin's closed population. Link functions: logit, sine, hazard. Model selection and model averaging routines. Plot methods. Simulation routine. CJS methods produce estimates of population size using the Horvitz-Thompson estimator.

AuthorTrent McDonald [cre, aut], Eric Regehr [ctb], Jeff Bromaghin [ctb]
Date of publication2015-04-02 15:00:47
MaintainerTrent McDonald <tmcdonald@west-inc.com>
LicenseGNU General Public License
Version2.16.4

View on CRAN

Functions

cjs Man page
CJS Man page
Cormack Man page
cr.estim Man page
dipper.data Man page
dipper.histories Man page
dipper.males Man page
F.3d.model.matrix Man page
F.cjs.covars Man page
F.cjs.estim Man page
F.cjs.gof Man page
F.cjs.simulate Man page
F.cr.model.avg Man page
F.cr.model.matrix Man page
F.fit.table Man page
F.huggins.estim Man page
F.sat.lik Man page
F.step.cjs Man page
F.update.df Man page
huggins Man page
Huggins Man page
huggins.estim Man page
ivar Man page
Jolly Man page
lines.cjs Man page
mra Man page
mra.control Man page
mra-package Man page
plot.cjs Man page
plot.nhat Man page
predict.cjs Man page
print.cjs Man page
print.hug Man page
print.nhat Man page
residuals.cjs Man page
Seber Man page
tvar Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.