RVAideMemoire (version 0.9-7)

logis.noise: Creating a nls model for logistic regression from fitted values of a glm model

Description

Add some noise to the fitted values of a glm model to create a nls model for logistic regression (creating a nls model from exact fitted values does not work).

Usage

logis.noise(model, intensity = 25)

Arguments

model

glm model.

intensity

intensity of the noise: lower the value, bigger the noise.

See Also

glm, nls

Examples

x<-1:50
y<-c(rep(0,18),sample(0:1,14,replace=TRUE),rep(1,18))
model<-glm(y~x,family=binomial)
y2<-logis.noise(model)
# Then model2<-nls(y2~SSlogis(...))