fit.catch.compare: Fit catch data to several size-selectivity models

Description Usage Arguments Value Author(s) References Examples

Description

Compare the fit of catch data to several size-selectivity models fitted by fit.catch.

Usage

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fit.catch.compare(catch, perimeter.factor = 1, tol = 1e-08, omega0 = 0.1,
  effort = NULL)

## S3 method for class 'fit.catch.compare'
deviance(object, ...)

## S3 method for class 'fit.catch.compare'
AIC(object, ..., k = 2)

## S3 method for class 'fit.catch.compare'
print(x, digits = max(3, getOption("digits") - 3),
  ...)

## S3 method for class 'fit.catch.compare'
plot(x, y, ...)

## S3 method for class 'fit.catch.compare'
summary(object, l = get.lens(object),
  m = get.mesh(object), ...)

Arguments

catch

an object of class catch created using make.catch.

perimeter.factor

Factor by which to multiply the inputted mesh sizes to obtain mesh perimeters.

x

an object of class fit.catch.compare or summary.fit.catch.compare.

object

an object of class fit.catch.compare.

y

not used. only for consistency with S3 plot method.

k

not used. only for consistency with default S3 method.

tol

tolerance used to decide on whether fitted values are numerically zero. used to correct AIC values. this correction depends on sample size, and the standard way to calculate sample size is as the number of mesh sizes times the number of fish length categories and then to subtract from this number the number of zero fitted counts

omega0

initial value for the tangle parameter

digits

number of digits to round to

effort

TODO (sorry!)

...

additional arguments to be passed

l

Lengths

m

Mesh sizes

Value

An object of class fit.catch.compare with components:

norm.loc fit.catch object using the norm.loc selection curve

norm fit.catch object using the norm selection curve

lognorm fit.catch object using the lognorm selection curve

gamm fit.catch object using the gamm selection curve

inv.gau fit.catch object using the inv.gau selection curve

Author(s)

Steve Walker

References

J.F. Bromaghin (2005) A versatile net selectivity model, with application to Pacific salmon and freshwater species of the Yukon River, Alaska. Fisheries Research 74: 157-168.

R.B. Millar & R.J. Fryer (1999) Estimating the size-selection curves of towed gears, traps, nets and hooks. Reviews in Fish Biology and Fisheries 9: 89-116.

Examples

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np <- make.catch(north.pike$MESH, north.pike$FLEN)
fms <- fit.catch.compare(np)
fms
plot(fms)


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