RidgeBinaryLogisticFit: Fits a binary logistic regression with ridge penalization

In MultBiplotR: Multivariate Analysis Using Biplots in R

Fits a binary logistic regression with ridge penalization

Description

This function fits a logistic regression between a dependent variable y and some independent variables x, and solves the separation problem in this type of regression using ridge regression and penalization.

Usage

RidgeBinaryLogisticFit(y, xd, freq, tolerance = 1e-05, maxiter = 100, penalization = 0.2)

Arguments

y	A vector with the values of the dependent variable
xd	A matrix with the independent variables
freq	Frequencies of each pattern
tolerance	Tolerance for the iterations.
maxiter	Maximum number of iterations for convergenc~
penalization	Penalization used in the diagonal matrix to avoid singularities.

Details

Fits a binary logistic regression with ridge penalization

Value

The parameters of the fit

Author(s)

Jose Luis Vicente Villardon

See Also

RidgeBinaryLogistic

Examples

##---- Should be DIRECTLY executable !! ----

MultBiplotR documentation built on Nov. 21, 2023, 5:08 p.m.