sigmoid_weight: Weight based sigmoidal selectivity function

View source: R/selectivity_funcs.R

sigmoid_weightR Documentation

Weight based sigmoidal selectivity function

Description

A sigmoidal selectivity function with 50% selectivity at weight sigmoidal_weight and width sigmoidal_sigma.

S(w) = \left(1 + \left(\frac{w}{\text{sigmoidal_weight}}\right)^{-\text{sigmoidal_sigma}}\right)^{-1}

Usage

sigmoid_weight(w, sigmoidal_weight, sigmoidal_sigma, ...)

Arguments

w

Vector of sizes.

sigmoidal_weight

The weight at which the knife-edge operates.

sigmoidal_sigma

The width of the selection function.

...

Unused

Value

Vector of selectivities at the given sizes.

See Also

gear_params() for setting the selectivity parameters.

Other selectivity functions: double_sigmoid_length(), knife_edge(), sigmoid_length()


drfinlayscott/mizer documentation built on April 13, 2024, 9:16 a.m.