simTirm: Simulate Data Under Two-Innate Rates 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 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.

1	simTirm(na, nb, alpha, s)

`na`	Number of individuals in the "easy to capture" class
`nb`	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)
`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

fitTirm

## 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