simEcm: Simulate data under Equal Capture Model (TIRM)

In mwpennell/capwire: Estimates population size from non-invasive sampling

Simulate data under Equal Capture Model (TIRM)

Description

Simulates capture count data under the assumptions of the Equal Capture Model (ECM) where all individuals in the population are assumed to be equally likely to be captured.

Usage

simEcm(n, s)

Arguments

n	Number of individuals in the population
s	Total number of samples collected

Value

A two-column matrix with the first column specifiying the capture class (i.e. individuals caught i times) and the second column specifying the number of individuals in each class.

The matrix can be used as the data argument for any of the model-fitting functions implemented in capwire

Author(s)

Matthew W. Pennell

References

Miller C. R., P. Joyce and L.P. Waits. 2005. A new method for estimating the size of small populations from genetic mark-recapture data. Molecular Ecology 14:1991-2005. Pennell, M. W., C. R. Stansbury, L. P. Waits and C. R. Miller. Capwrie: a R package for estimating population census size from non-invasive genetic sampling

See Also

fitEcm

Examples

## Simualte data under Equal Capture Model

data <- simEcm(n=25, s=100)

## Fit the Equal Capture Model

ecm <- fitEcm(data=data, max.pop=200)
ecm

mwpennell/capwire documentation built on Jan. 12, 2023, 11:19 a.m.