mylogit: mylogit

In zwang0/mylogit: Logistic Regression

Description

mylogit is used to fit a logistic regression model.

Usage

mylogit(formula, data, format = "brief")

Arguments

formula	a symbolic description of the model to be fitted.
data	a data frame containing the variables in the model.
format	output format. brief, as default for brief output, detailed for detailed output, nothing for no printing output.

Value

a list containing the following components:

coefficients	coefficients of logistic regression model
z.value	the z score of coefficients
p.value	the p value of coefficients
cov	covariance matrix
std.err	standard error
deviance	deviance
null.deviance	null deviance
r2	r-square, 1 - (deviance/null.deviance)
AIC	AIC score
null.df	degrees of freedom of null model
df	degrees of freedom of logistic model
level	the levels of response variable
fitted.values	fitted values for input dataset
predict.class	class prediction for input dataset
predict.accuracy	accuracy of class prediction
formula	formula of logistic model
data	input dataset

Examples

mylogit(formula = supp ~ len + dose, data = ToothGrowth, format="brief")

zwang0/mylogit documentation built on Dec. 23, 2021, 10:13 p.m.