summary.SLOPE: Summarize SLOPE Model

In SLOPE: Sorted L1 Penalized Estimation

Summarize SLOPE Model

Description

Produces a summary of a fitted SLOPE model, including information about the regularization path, model family, and fitted values.

Usage

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

Arguments

object	an object of class "SLOPE", typically from a call to SLOPE()
...	other arguments (currently ignored)

Value

An object of class "summary_SLOPE" with the following components:

call	the call that produced the model
family	the model family
n_obs	number of observations
n_predictors	number of predictors
has_intercept	whether an intercept was fit
path_length	number of steps in the regularization path
alpha_range	range of alpha values in the path
deviance_ratio_range	range of deviance ratios in the path
null_deviance	null deviance
path_summary	data frame summarizing the regularization path

See Also

SLOPE(), print.summary_SLOPE()

Other SLOPE-methods: coef.SLOPE(), deviance.SLOPE(), plot.SLOPE(), predict.SLOPE(), print.SLOPE(), score()

Examples

fit <- SLOPE(heart$x, heart$y)
summary(fit)

# Multinomial example
fit_multi <- SLOPE(wine$x, wine$y, family = "multinomial")
summary(fit_multi)

SLOPE documentation built on Jan. 28, 2026, 9:07 a.m.