Last data update: 2014.03.03

R: Tidying methods for an rlm (robust linear model) object
rlm_tidiersR Documentation

Tidying methods for an rlm (robust linear model) object

Description

This method provides a glance of an "rlm" object. The tidy and augment methods are handled by lm_tidiers.

Usage

## S3 method for class 'rlm'
glance(x, ...)

Arguments

x

rlm object

...

extra arguments (not used)

Value

glance.rlm returns a one-row data.frame with the columns

sigma

The square root of the estimated residual variance

converged

whether the IWLS converged

logLik

the data's log-likelihood under the model

AIC

the Akaike Information Criterion

BIC

the Bayesian Information Criterion

deviance

deviance

See Also

lm_tidiers

Examples


library(MASS)

r <- rlm(stack.loss ~ ., stackloss)
tidy(r)
augment(r)
glance(r)

Results