Calculates the standard error of the Bailey estimator in a mark-recapture experiment, with given values of sample sizes and number of recaptures.
seBailey(n1, n2, m2)
Number of individuals captured and marked in the first sample. This may be a single number or vector of values.
Number of individuals captured in the second sample. This may be a single number or vector of values.
Number of marked individuals recaptured in the second sample. This may be a single number or vector of values.
The estimate variance of the Bailey estimator, calculated as sqrt((n1^2)*(n2+1)*(n2-m2)/(m2+1)/(m2+1)/(m2+2))
Any Petersen-type estimator (such as this) depends on a set of assumptions:
The population is closed; that is, that there are no births, deaths, immigration, or emigration between sampling events
All individuals have the same probability of capture in one of the two events, or complete mixing occurs between events
Marking in the first event does not affect probability of recapture in the second event
Individuals do not lose marks between events
All marks will be reported in the second event
NBailey, vBailey, rBailey, pBailey, powBailey, ciBailey
seBailey(n1=100, n2=100, m2=20)
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