seBailey: Standard Error of the Bailey Estimator

Description Usage Arguments Value Note Author(s) See Also Examples

View source: R/funcs.R

Description

Calculates the standard error of the Bailey estimator in a mark-recapture experiment, with given values of sample sizes and number of recaptures.

Usage

1
seBailey(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 estimate variance of the Bailey estimator, calculated as sqrt((n1^2)*(n2+1)*(n2-m2)/(m2+1)/(m2+1)/(m2+2))

Note

Any Petersen-type estimator (such as this) depends on a set of assumptions:

Author(s)

Matt Tyers

See Also

NBailey, vBailey, rBailey, pBailey, powBailey, ciBailey

Examples

1
seBailey(n1=100, n2=100, m2=20)

mbtyers/recapr documentation built on May 22, 2017, 1:06 a.m.