secrFit {wiqid}

Spatially Explicit Capture-Recapture

Description

A wrapper for secr::secr.fit. In secr v. 4, secr.fit gains a new option, fastproximity. If TRUE, some data sets are compressed and reconfigured to run much faster. This cannot be implemented for all models. The default is fastproximity=TRUE. This means that you can have a set of models where some have been reconfigured, others not, and AICs are not comparable across these models. The function secrFit simply calls secr.fit with fastproximity = FALSE, making it easy to run models with consistent settings.

Usage

secrFit (capthist, model = list(D~1, g0~1, sigma~1), mask = NULL, buffer = NULL,
    CL = FALSE, detectfn = NULL, ...)

Arguments

capthist

a capthist object as defined in package secr including capture data and detector (trap) layout

model

list with optional components each symbolically defining a linear predictor for one real parameter using formula notation

mask

a mask object or (for a multi-session analysis) a list of mask objects, one for each session

buffer

scalar mask buffer radius if mask is not specified (default 100 m)

CL

logical, if true then the model is fitted by maximizing the conditional likelihood

detectfn

integer code or character string for shape of detection function 0 = halfnormal, 1 = hazard rate etc. - see detectfn

...

other arguments to pass to secr.fit.

Value

returns an object of class secr representing the fitted SECR model.

Author(s)

This wrapper by Mike Meredith