Package 'mRc'

Title: Multi-Visit Closed Population Mark-Recapture Estimates
Description: Compute bootstrap confidence intervals for the adjusted Schnabel and Schumacher-Eschmeyer multi-visit mark-recapture estimators based on Dettloff (2023) <doi:10.1016/j.fishres.2023.106756>.
Authors: Kyle Dettloff [aut, cre, cph]
Maintainer: Kyle Dettloff <[email protected]>
License: MIT + file LICENSE
Version: 0.1.2
Built: 2026-05-23 08:56:00 UTC
Source: https://github.com/k-dettloff/mrc

Help Index

Multi-visit closed population mark-recapture estimates

Description

Calculate adjusted Schnabel and Schumacher-Eschmeyer estimates with confidence intervals.

Usage

closedCI(
  marked,
  caught,
  recaptured,
  newmarks = NULL,
  alpha = 0.05,
  ndraws = 1e+05
)

Arguments

marked

number of animals marked on first visit (M2)
caught

vector of catch on subsequent visits (nk)
recaptured

vector of recaptures on subsequent visits (mk)
newmarks

vector of newly marked animals on subsequent visits (default: nk - mk)
alpha

type I error rate for confidence intervals (default: 0.05)
ndraws

number of bootstrap draws (default: 100,000)

Details

Bias adjusted estimators are based on Dettloff (2023). Bootstrap confidence intervals are computed using a beta-binomial distribution with n = nk, alpha = mk, and beta = nk - mk.

Value

Matrix containing population size estimates with confidence intervals for each method.

References

Dettloff, K. (2023). Assessment of bias and precision among simple closed population mark-recapture estimators. Fisheries Research, 265, 106756. doi:10.1016/j.fishres.2023.106756

Examples

M2 <- 2
n <- c(232, 524, 152, 98, 353)
m <- c(0, 5, 8, 6, 13)
set.seed(123)
closedCI(M2, n, m, ndraws = 10000)