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 3 4 5 6 7 8 | 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 log-linear models. ICES Journal of Marine Science: Journal du Conseil, 54(3):471-477
1 2 3 4 5 6 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.