simTirm: Simulate Data Under Two-Innate Rates Model

Description

Simulates capture count data under the assumptions of the Two-Innate Rates Model (TIRM) where the individuals in the population are assumed to come from two classes: easy to capture individuals and difficult to capture individuals.

Usage

simTirm(na, nb, alpha, s)

Arguments

Number of individuals in the "easy to capture" class

Number of individuals in the "difficult to capture" class

alpha

The ratio of the capture rates between the two classes (capture rate of class a individual/capture rate of class b individuals)

Total number of samples collected

Value

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

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

Examples

Run this code

## Simualte data under Two-Innate Rates Model

data <- simTirm(na=20, nb=10, alpha=4, s=100)

## Fit the Two-Innate Rates Model 

tirm <- fitTirm(data=data, max.pop=200)

tirm