Plot coefficients — plot.SLOPE • SLOPE

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

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

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.
...: further arguments passed to or from other methods.

Value

An object of class "ggplot", which will be plotted on the current device unless stored in a variable.

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)