islasso (version 1.5.2)

plot.islasso: Diagnostics plots for Induced Smoothing Lasso Model

Description

Diagnostics plots for Induced Smoothing Lasso Model

Usage

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

Arguments

x

an object of class islasso, usually, a result of a call to islasso.

...

other graphical parameters for the plot

Author

Maintainer: Gianluca Sottile <[e-mail]>

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.

See Also

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

Examples

if (FALSE) {
  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)
}