simTirm: Simulate data under Two Innate Rates Model (TIRM)

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

Simulate data under Two Innate Rates Model (TIRM)

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, a, s)

Arguments

na	Number of individuals in the "easy to capture" class
nb	Number of individuals in the "difficult to capture" class
a	The ratio of capture rates between the two class (i.e. the alpha parameter in fitTirm
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. 2013. Capwire: a R package for estimating population census size from non-invasive genetic sampling. Molecular Ecology Resources 13:154-157.

See Also

fitTirm

Examples

## Simualte data under Two-Innate Rates Model

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

## Fit the Two-Innate Rates Model

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

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