sel.curves: Selection curve functions

In omnr.gillnet: Gillnet size selectivity analysis

Description

These functions generate various other functions for making computations under various assumptions about the underlying selection curve.

Usage

norm()

norm.loc()

lognorm()

gamm()

inv.gau()

Details

sel.curves is a list with the names of the five selection curve functions.

Value

For norm.loc, norm, lognorm, gamm, and inv.gau, a list of functions:

loglinpredictors calculates the predictors used in log-linear model fitting

off calculates the offset term for log-linear model fitting

selcurvparams calculates the parameters of the selection curve from the coefficients of the terms in the log linear model

curv calculates a matrix of values from the selection curve from two matrices of the same size giving the fish lengths and mesh sizes

peak calculates the peak of the selection curve for different mesh sizes

Author(s)

Steve Walker

See Also

getSelcurve

Examples

data(north.pike)
np <- make.catch(north.pike$MESH, north.pike$FLEN)
lapply(sel.curves, function(x) fit.catch(np, eval(x)))

omnr.gillnet documentation built on May 2, 2019, 6:09 p.m.