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mra (version 2.16.4)

Analysis of Mark-Recapture Data

Description

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.

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Version

Install

install.packages('mra')

Monthly Downloads

71

Version

2.16.4

License

GNU General Public License

Maintainer

Trent McDonald

Last Published

April 2nd, 2015

Functions in mra (2.16.4)

F.cjs.covars

F.cjs.covars
mra-package

MRA - Mark Recapture Analysis
F.sat.lik

F.sat.lik
F.cjs.estim

F.cjs.estim - Cormack-Jolly-Seber estimation
F.3d.model.matrix

3-Dimensional capture-recapture model matrices
F.fit.table

F.fit.table - Produce a summary table of model fit statistics.
plot.cjs

Plot CJS Model
predict.cjs

predict.cjs
F.cjs.gof

F.cjs.gof
F.cr.model.matrix

Capture-Recapture model matrix
F.step.cjs

F.step.cjs - Stepwise model selection for CJS models.
F.cr.model.avg

F.cr.model.avg - Model averaging of mark-recapture parameters.
F.cjs.simulate

F.cjs.simulate - Generation of capture histories that follow a CJS model.
dipper.data

European Dipper data
plot.nhat

Plot size estimates
F.huggins.estim

F.huggins.estim - Estimation of Huggins closed population capture-recapture model.
ivar

Expand Individual-varying covariates in models
mra.control

mra.control - Control over MRA fitting process
tvar

Expand Time-varying covariates in models
lines.cjs

lines.cjs
F.update.df

F.update.df - Update degrees of freedom in a Cormack-Jolly-Seber fitted object
print.hug

Print Huggin's Model objects
print.cjs

Print Cormack-Jolly-Seber (CJS) Models
print.nhat

print.nhat
residuals.cjs

Residuals for CJS Model