secr (version 1.3.0)

secrdemo: SECR Models Fitted to Demonstration Data

Description

Objects of class secr formed by secrdemo.0 <- secr.fit (captdata) secrdemo.b <- secr.fit (captdata, model = list(g0 = ~b)) secrdemo.CL <- secr.fit (captdata, CL = TRUE) where captdata is a capthist object using the demonstration data (files 'trap.txt','capt.txt') from program Density 4.1 (Efford 2007).

Usage

data(secrdemo)

source

Efford, M.G. (2007) Density 4.1: software for spatially explicit capture-recapture. Department of Zoology, University of Otago, Dunedin, New Zealand. http://www.otago.ac.nz/density. Efford, M. G., Borchers D. L. and Byrom, A. E. (2009) Density estimation by spatially explicit capture-recapture: likelihood-based methods. In: D. L. Thomson, E. G. Cooch and M. J. Conroy (eds) Modeling Demographic Processes in Marked Populations. Springer, New York. Pp. 255--269.

Details

The raw data are 235 fictional captures of 76 animals in 100 single-catch traps over 5 occasions. The fitted models use a halfnormal detection function and the likelihood for multi-catch traps (expect estimates of g0 to be biased because of trap saturation Efford et al. 2009). The first is a null model (i.e. parameters constant) and the second fits a learned trap response.

See Also

captdata, capthist

Examples

## display the default fit with the print method for secr
data (secrdemo)
secrdemo.0