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mra (version 2.16.11)

Mark-Recapture Analysis

Description

Accomplishes mark-recapture analysis with covariates. Models available include the Cormack-Jolly-Seber open population (Cormack (1972) ; Jolly (1965) ; Seber (1965) ) and Huggin's (1989) closed population. Link functions include logit, sine, and hazard. Model selection, model averaging, plot, and simulation routines included. Open population size by the Horvitz-Thompson (1959) estimator.

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Version

Install

install.packages('mra')

Monthly Downloads

71

Version

2.16.11

License

GNU General Public License

Maintainer

Trent McDonald

Last Published

January 5th, 2018

Functions in mra (2.16.11)

F.huggins.estim

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

F.sat.lik
mra.control

mra.control - Control over MRA fitting process
plot.cjs

Plot CJS Model
print.nhat

print.nhat
residuals.cjs

Residuals for CJS Model
dipper.data

European Dipper data
ivar

Expand Individual-varying covariates in models
print.cjs

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

Print Huggin's Model objects
F.cjs.simulate

F.cjs.simulate - Generation of capture histories that follow a CJS model.
F.cr.model.avg

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

lines.cjs
mra-package

MRA - Mark Recapture Analysis
plot.nhat

Plot size estimates
F.3d.model.matrix

3-Dimensional capture-recapture model matrices
F.cjs.covars

F.cjs.covars
predict.cjs

predict.cjs
tvar

Expand Time-varying covariates in models
F.cjs.estim

F.cjs.estim - Cormack-Jolly-Seber estimation
F.cjs.gof

F.cjs.gof
F.step.cjs

F.step.cjs - Stepwise model selection for CJS models.
F.update.df

F.update.df - Update degrees of freedom in a Cormack-Jolly-Seber fitted object
F.cr.model.matrix

Capture-Recapture model matrix
F.fit.table

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