Description Usage Arguments Value Source References Examples
Function to estimate selectivity parameters from experimental data.
This function is applied within select_Millar
to derive starting
parameters. select_Millar
is the recommended function for
selectivity estimation.
1 2  gillnetfit(data, meshsizes, rtype = "norm.loc", rel.power = NULL,
plotlens = NULL, details = FALSE)

data 
matrix with the number of individuals caught with each sized mesh
( 
meshsizes 
vector with meshSizes in increasing order ( 
rtype 
A character string indicating which method for estimating selection curves
should be used:

rel.power 
A string indicating the relative power of different meshSizes,
must have same length as 
plotlens 
lengths which should be used for graphical output, for more detailed curves. Default : NULL 
details 
logical; should details be included in the output? 
list of fitted parameters
https://www.stat.auckland.ac.nz/~millar/selectware/
Millar, R. B., Holst, R., 1997. Estimation of gillnet and hook selectivity using loglinear models. ICES Journal of Marine Science: Journal du Conseil, 54(3):471477
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