plot.islasso: Diagnostics plots for Induced Smoothing Lasso Model

In islasso: The Induced Smoothed Lasso

Diagnostics plots for Induced Smoothing Lasso Model

Description

Diagnostics plots for Induced Smoothing Lasso Model

Usage

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

Arguments

x	an object of class islasso, usually, a result of a call to islasso.
...	other graphical parameters for the plot

Details

The plot on the top left is a plot of the standard deviance residuals against the fitted values. The plot on the top right is a normal QQ plot of the standardized deviance residuals. The red line is the expected line if the standardized residuals are normally distributed, i.e. it is the line with intercept 0 and slope 1. The bottom two panels are plots of link and variance functions. On the left is squared standardized Pearson residuals against the fitted values. On the right working vector against the linear predictor.

Author(s)

Maintainer: Gianluca Sottile <[e-mail]>

See Also

islasso.fit, summary.islasso, residuals.islasso, logLik.islasso, predict.islasso and deviance.islasso methods.

Examples

## Not run: 
  set.seed(1)
  n <- 100
  p <- 100
  p1 <- 20  #number of nonzero coefficients
  coef.veri <- sort(round(c(seq(.5, 3, l=p1/2), seq(-1, -2, l=p1/2)), 2))
  sigma <- 1

  coef <- c(coef.veri, rep(0, p-p1))

  X <- matrix(rnorm(n*p), n, p)
  mu <- drop(X%*%coef)
  y <- mu + rnorm(n, 0,sigma)

  lambda <- 2
  o <- islasso(y ~ ., data = data.frame(y = y, X), 
               family = gaussian(), lambda = lambda)
  plot(o)

## End(Not run)

islasso documentation built on May 31, 2023, 8:37 p.m.