summary.asm: Summary of an 'asm' regression model

In asm: Optimal Convex M-Estimation for Linear Regression via Antitonic Score Matching

Summary of an asm regression model

Description

Outputs estimated coefficients, standard errors and p-values based on a fitted asm regression model

Usage

## S3 method for class 'asm'
summary(object, ...)

Arguments

object	asm object
...	additional arguments to ensure compatibility with the generic function summary()

Value

summary.asm class object containing the following components:

coefficients:

estimated coefficients, standard errors, z-values and p-values

residuals:

residuals of the fitted model

call:

call to the asm function

Examples

model = asm(mpg ~ cyl + hp + disp, data=mtcars)
summary(model)

asm documentation built on April 12, 2025, 1:41 a.m.