plot.islasso: Diagnostic Plots for islasso Models

In islasso: The Induced Smoothed Lasso

Diagnostic Plots for islasso Models

Description

Produces standard diagnostic plots for a fitted islasso model to assess residuals, model fit, and variance structure.

Usage

## S3 method for class 'islasso'
plot(x, ...)

Arguments

x	An object of class "islasso", typically created via islasso.
...	Additional graphical parameters passed to the underlying plot() functions.

Details

Generates a 2x2 grid of diagnostic plots:

• Top-left: Deviance residuals vs fitted values.

• Top-right: Normal Q-Q plot of standardized deviance residuals (red line = reference).

• Bottom-left: Squared standardized Pearson residuals vs fitted values.

• Bottom-right: Working response vector vs linear predictor.

These plots help assess the assumptions of linearity, homoscedasticity, and residual normality in penalized regression.

Author(s)

Gianluca Sottile [e-mail]

See Also

islasso, summary.islasso, residuals.islasso, logLik.islasso, predict.islasso, deviance.islasso

Examples

## Not run: 
  set.seed(1)
  n <- 100; p <- 100
  beta <- c(runif(20, -3, 3), rep(0, p - 20))
  sim <- simulXy(n = n, p = p, beta = beta, seed = 1, family = gaussian())
  fit <- islasso(y ~ ., data = sim$data, family = gaussian(), lambda = 2)
  plot(fit)

## End(Not run)

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