stats (version 3.2.2)

SSlogis: Self-Starting Nls Logistic Model

Description

This selfStart model evaluates the logistic function and its gradient. It has an initial attribute that creates initial estimates of the parameters Asym, xmid, and scal.

Usage

SSlogis(input, Asym, xmid, scal)

Arguments

input
a numeric vector of values at which to evaluate the model.
Asym
a numeric parameter representing the asymptote.
xmid
a numeric parameter representing the x value at the inflection point of the curve. The value of SSlogis will be Asym/2 at xmid.
scal
a numeric scale parameter on the input axis.

Value

a numeric vector of the same length as input. It is the value of the expression Asym/(1+exp((xmid-input)/scal)). If all of the arguments Asym, xmid, and scal are names of objects the gradient matrix with respect to these names is attached as an attribute named gradient.

See Also

nls, selfStart

Examples

Run this code

Run the code above in your browser using DataCamp Workspace