remGP: remGP

In dslramsey/eradicate: Functions to support the "eradication tools" shiny app

remGP

Description

remGP fits the catch-effort model of Gould & Pollock (1997) to removal data from a single site (or combined data from many sites). At least 3 removal periods are required to fit this model. Additionally, the model also accepts index (count) data collected in conjunction with the removal data.

Usage

remGP(data, starts, K, method = "BFGS", se=TRUE, ...)

Arguments

data	eFrameGP object containing the catch (removal), effort and optionally, the index data. See eFrameGP for more details.
starts	Initial values for parameters
K	Integer representing upper bound for abundance for discrete integration
method	optimsation method (see ?optim for details)
se	flag to return the standard error (hessian).

Value

a efit model object.

Examples

 y<- san_nic_rem$rem
 catch<- apply(y,2,sum)
 effort<- rep(nrow(y), length(catch))
 emf <- eFrameGP(catch, effort)
 mod <- remGP(emf)
 Nhat<- calcN(mod)

dslramsey/eradicate documentation built on March 16, 2024, 1:40 p.m.