multinom_logit: Multi-classification logistic regression

Description Usage Arguments Examples

View source: R/multi_logit.R

Description

This function implement a classification model generalizing logistic regression to accommodate more than two classes

Usage

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multinom_logit(form, data, maxit = 25, tol = 1e-10)

Arguments

form

A given formula for fitting the regression

data

A given dataset to fit the model

maxit

Integer maximum number of iterations

tol

Numeric tolerance parameter

Examples

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library(palmerpenguins)
data(penguins)
form = is_gentoo ~ body_mass_g +bill_length_mm
my_penguins<- penguins %>% mutate(is_gentoo = as.numeric(species == "Gentoo")) %>% model.frame(form,.)
multinom_logit(form=form,data=my_penguins)

nixgank-wang/bis557 documentation built on Dec. 26, 2020, 9:54 p.m.