recapr (version 0.4.3)

NBailey: Bailey Estimator

Description

Calculates the value of the Bailey estimator for abundance in a mark-recapture experiment, with given values of sample sizes and number of recaptures. The Bailey estimator assumes a binomial probability model in the second sampling event (i.e. sampling with replacement), rather than the hypergeometric model assumed by the Petersen and Chapman estimators.

Usage

NBailey(n1, n2, m2)

Arguments

n1

Number of individuals captured and marked in the first sample. This may be a single number or vector of values.

n2

Number of individuals captured in the second sample. This may be a single number or vector of values.

m2

Number of marked individuals recaptured in the second sample. This may be a single number or vector of values.

Value

The value of the Bailey estimator, calculated as n1*(n2+1)/(m2+1)

References

Bailey, N.T.J. (1951). On estimating the size of mobile populations from capture-recapture data. Biometrika 38, 293-306.

Bailey, N.T.J. (1952). Improvements in the interpretation of recapture data. J. Animal Ecol. 21, 120-7.

See Also

NPetersen, NChapman, vBailey, seBailey, rBailey, pBailey, powBailey, ciBailey

Examples

# NOT RUN {
NBailey(n1=100, n2=100, m2=20)
# }