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.