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

In fishmethods: Fishery Science Methods and Models

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

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.

Value

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

Author(s)

Gary A. Nelson, Massachusetts Division of Marine Fisheries [e-mail]

References

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

Examples

mrN.single(M=948,C=421,R=167)

fishmethods documentation built on April 27, 2023, 9:10 a.m.