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This method provides a glance of an "rlm" object. The tidy and augment methods are handled by lm_tidiers.
tidy
augment
# S3 method for rlm glance(x, ...)
rlm object
extra arguments (not used)
glance.rlm returns a one-row data.frame with the columns
glance.rlm
The square root of the estimated residual variance
whether the IWLS converged
the data's log-likelihood under the model
the Akaike Information Criterion
the Bayesian Information Criterion
deviance
lm_tidiers
# NOT RUN { library(MASS) r <- rlm(stack.loss ~ ., stackloss) tidy(r) augment(r) glance(r) # }
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