summary.TrainedSLOPE: Summarize TrainedSLOPE Model

In SLOPE: Sorted L1 Penalized Estimation

Summarize TrainedSLOPE Model

Description

Produces a summary of a trained SLOPE model from cross-validation, including information about the optimal parameters and performance metrics.

Usage

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

Arguments

object	an object of class 'TrainedSLOPE', typically from a call to cvSLOPE() or trainSLOPE()
...	other arguments (currently ignored)

Value

An object of class 'summary_TrainedSLOPE' with the following components:

call	the call that produced the model
measure	the performance measure(s) used
optima	optimal parameter values and corresponding performance
n_folds	number of cross-validation folds
n_repeats	number of cross-validation repeats
n_models	total number of models evaluated

See Also

cvSLOPE(), trainSLOPE(), print.summary_TrainedSLOPE()

Other model-tuning: cvSLOPE(), plot.TrainedSLOPE(), refit(), trainSLOPE()

Examples

tune <- cvSLOPE(
  subset(mtcars, select = c("mpg", "drat", "wt")),
  mtcars$hp,
  q = c(0.1, 0.2),
  n_folds = 5
)
summary(tune)

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