class_logistic: Multi-Class Logistic Regression

In lyran92/bis557: What the Package Does (One Line, Title Case)

Description

A classification model generalizing logistic regression to accommodate more than two classes.

Usage

class_logistic(X, y, maxiter)

Arguments

X	The input design matrix.
y	The input response vector.
maxiter	A number indicating the maximum number iterations.

Value

A list of estimated coefficients and the classification of the observations.

Examples

data(iris)
iris1 <- iris[sample(150,replace = FALSE),]
iris.X <- as.matrix(iris1[,-5])
iris.y <- iris1$Species
classification <- class_logistic(iris.X, iris.y, maxiter=50)

lyran92/bis557 documentation built on Dec. 21, 2020, 10:03 p.m.