rcurves_Millar: Predict gillnet selectivity (old Millar method)
In tokami/TropFishR: Tropical Fisheries Analysis
View source: R/rcurves_Millar.R
rcurves_Millar R Documentation
Predict gillnet selectivity (old Millar method)
Description
Predict gillnet selectivity (old Millar method)
Usage
rcurves_Millar(type, meshsizes, rel, pars, plotlens)
Arguments
type
("norm.loc", "norm.sca", "gamma", "lognorm")
meshsizes
mesh sizes
rel
relative powers (one for each mesh size)
pars
selection curve parameters
plotlens
vector of new mesh sizes for selectivity prediction
Value
selectivities
Source
https://www.stat.auckland.ac.nz/~millar/selectware/
References
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
tokami/TropFishR documentation built on Feb. 29, 2024, 11 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/rcurves_Millar.R
| rcurves_Millar | R Documentation |
Predict gillnet selectivity (old Millar method)
Description
Predict gillnet selectivity (old Millar method)
Usage
rcurves_Millar(type, meshsizes, rel, pars, plotlens)
Arguments
type |
("norm.loc", "norm.sca", "gamma", "lognorm") |
meshsizes |
mesh sizes |
rel |
relative powers (one for each mesh size) |
pars |
selection curve parameters |
plotlens |
vector of new mesh sizes for selectivity prediction |
Value
selectivities
Source
https://www.stat.auckland.ac.nz/~millar/selectware/
References
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.