plot.islasso.path: Coefficient Profile and Diagnostic Plots for islasso.path

In islasso: The Induced Smoothed Lasso

Coefficient Profile and Diagnostic Plots for islasso.path

Description

Generates plots of coefficient profiles, standard errors, gradients, weights, or goodness-of-fit criteria from a fitted islasso.path model.

Usage

## S3 method for class 'islasso.path'
plot(
  x,
  yvar = c("coefficients", "se", "gradient", "weight", "gof"),
  gof = c("none", "AIC", "BIC", "AICc", "eBIC", "GCV", "GIC"),
  label = FALSE,
  legend = FALSE,
  ...
)

Arguments

x	An object of class "islasso.path", typically created via islasso.path.
yvar	Character. Specifies what to display on the y-axis. Choices are: "coefficients" - coefficient paths over log(lambda), "se" - standard errors over log(lambda), "gradient" - gradient values over log(lambda), "weight" - mixture weights used in smoothing, "gof" - goodness-of-fit values.
gof	Character. Criterion used for highlighting active variables. Choices: "none", "AIC", "BIC", "AICc", "eBIC", "GCV", "GIC".
label	Logical. Whether to annotate curves with variable names.
legend	Logical. Whether to display a plot legend.
...	Additional graphical parameters, e.g. main, xlab, ylab, xlim, ylim, lty, col, lwd, cex.axis, cex.lab, cex.main, gof_lty, gof_col, gof_lwd.

Details

This function visualizes the behavior of the solution path across a sequence of lambda values, helping diagnose coefficient shrinkage, influence of penalty, and variable selection stability.

Value

Produces plots. Does not return an object.

Author(s)

Gianluca Sottile [e-mail]

See Also

islasso.path, GoF.islasso.path, summary.islasso.path, coef.islasso.path, fitted.islasso.path, predict.islasso.path

Examples

## Not run: 
  n <- 100; p <- 30
  beta <- c(runif(10, -2, 2), rep(0, p - 10))
  sim <- simulXy(n = n, p = p, beta = beta, seed = 1, family = gaussian())
  fit <- islasso.path(y ~ ., data = sim$data, family = gaussian())

  plot(fit, yvar = "coefficients", gof = "AICc", label = TRUE)
  plot(fit, yvar = "se", gof = "AICc")
  plot(fit, yvar = "gradient", gof = "AICc")
  plot(fit, yvar = "gof", gof = "AICc")

## End(Not run)

islasso documentation built on Aug. 9, 2025, 1:06 a.m.