plot.SLOPE: Plot coefficients

In SLOPE: Sorted L1 Penalized Estimation

Plot coefficients

Description

Plot the fitted model's regression coefficients along the regularization path.

Usage

## S3 method for class 'SLOPE'
plot(
  x,
  intercept = FALSE,
  x_variable = c("alpha", "deviance_ratio", "step"),
  magnitudes = FALSE,
  add_labels = FALSE,
  ...
)

Arguments

x	an object of class "SLOPE"
intercept	whether to plot the intercept
x_variable	what to plot on the x axis. "alpha" plots the scaling parameter for the sequence, "deviance_ratio" plots the fraction of deviance explained, and "step" plots step number.
magnitudes	whether to plot the magnitudes of the coefficients
add_labels	whether to add labels (numbers) on the right side of the plot for each coefficient
...	arguments passed to graphics::matplot()

Value

Invisibly returns NULL. The function is called for its side effect of producing a plot.

See Also

SLOPE(), plotDiagnostics()

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

Examples

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

SLOPE documentation built on July 2, 2025, 9:07 a.m.