Logistic model

DESCRIPTION:

This selfStart model evaluates the logistic function and its gradient. It has an initial attribute that will evaluate initial estimates of the parameters Asym, xmid , and scal for a given set of data.

USAGE:

SSlogis(input, Asym, xmid, scal) 

REQUIRED 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, as opposed to expressions or explicit numerical values, the gradient matrix with respect to these names is attached as an attribute named gradient.

SEE ALSO:

,

EXAMPLES:

Chick.1 <- ChickWeight[ChickWeight$Chick == 1, ] 
SSlogis( Chick.1$Time, 368, 14, 6 )  # response only 
Asym <- 368 
xmid <- 14 
scal <- 6 
SSlogis( Chick.1$Time, Asym, xmid, scal ) # response and gradient