mrN.single: Estimate of Population Size from a Single Mark-Recapture Experiment

Description

Estimates population sizes, standard errors, and confidence intervals for
the bias-corrected Petersen and the Bailey binomial estimators.

Usage

mrN.single(M = NULL, C = NULL, R = NULL, alpha = 0.05)

Arguments

M

Number of marked animals released

C

Number of animals captured

R

Number of animals recaptured

alpha

alpha level for confidence intervals

Value

Dataframe containing the population estimates (N), standard errors of N, the lower confidence limits (LCI),
and the upper confidence limits(UCI).

Details

The bias-corrected Petersen estimator and its variance (Seber 2002: p.60), and the Bailey binomial estimator and its variance
(Seber 2002: p.61) are calculated. The hypergeometric distribution is used to estimate confidence intervals for the Petersen model
and the binomial distribution is used to estimate confidence intervals for the Bailey model.

References

Seber, G. A. F. 2002. The Estimation of Animal Abundance and Related Parameters, Second Edition. The Blackburn Press,
Caldwell, New Jersey. 654 p.