mrc: Estimates from Mark-Recapture Studies

In JVAdams/jvamisc: A Collection of Utility Functions

Description

Estimates the recovery rate and abundance of a closed population from a mark-recapture study with a single capture and marking event and a single recapture event.

Usage

mrc(M, R, C, alpha = 0.05, ...)

Arguments

M	A numeric scalar, the number of individuals marked and released.
R	A numeric scalar, the number of marked individuals recaptured.
C	A numeric scalar, the number of individuals checked for marks.
alpha	A scalar, the desired confidence level, default 0.05.
...	Not in use, added for use with plyr::mdply() function.

Value

A named vector with the estimated recovery rate U with lower and upper 100*(1-alpha)% confidence limits from binomCI, and the population estimate N and associated variance V (the bias-corrected Petersen estimator from Chapman 1954 Table 3) with the coefficient of variation CV and the lower and upper 100*(1-alpha)% confidence limits from the normal approximation of the Poisson for R (Ricker 1975).

References

D. G. Chapman. 1954. The estimation of biological populations. Annals of Mathematical Statistics 25:1-15. [link].

W. E. Ricker. 1975. Computation and interpretation of biological statistics of fish populations. Fisheries Research Board of Canada Bulletin. 191.

See Also

binomCI

Examples

mrc(100, 10, 1000)
df <- data.frame(Year=2001:2003, M=(1:3)*100, C=(2:4)*1000, R=(3:5)*10)
plyr::mdply(df, mrc)

JVAdams/jvamisc documentation built on Aug. 11, 2021, 6:43 a.m.