logistlogF: Logistic regression with log-F(m,m) penalty

In SFUStatgen/logistlogF: Log-F-Penalized Logistic and Conditional Logistic Regression

Logistic regression with log-F(m,m) penalty

Description

Logistic regression with log-F(m,m) penalty

Usage

logistlogF(form, dat, m, control = glm.control())

Arguments

form	R formula for the model
dat	dataframe of data
m	degree-of-freedome parameter
control	control convergence

Value

The fitted penalized logistic regression

Examples

data(DES); DES$fmatched <- factor(DES$matched.set)
form = formula(case~fmatched+DES+matern.smoke)
fit = logF(form,DES,m=2)
coefficients(fit)

SFUStatgen/logistlogF documentation built on Nov. 21, 2023, 8:11 a.m.