simEcm: Simulate Data Under Equal Capture Model
In capwire: Estimates population size from non-invasive sampling

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

Simulates capture count data under the assumptions of the Equal Capture Model (ECM), where all individuals are assumed to have an equal probability of being captured

1	simEcm(n, s)

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

A two-column data frame 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 data frame can be used as the data argument for any of the model-fitting functions implemented in capwire

Matthew W. Pennell

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. submitted. capwire: A R Package for Estimating Population Census Size from Non-Invasive Genetic Sampling

fitEcm

## Simualte data under the Equal Capture Model

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

## Fit the Equal Capture Model 

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

ecm