Prints details for a liso fit

Description

Prints information and diagnostic statistics for a particular Liso fit.

Usage

## S3 method for class 'lisofit'
print(x, ...)

Arguments

Dummy variables for compatibility:

Details

print prints, in this case, n, p, Lambda for the fit, and then for each non-zero fitted variable, stepwise and total variation complexity statistics, as well as the apparent monotonicity of the fit if it was not pre-specified. Finally some residual statistics are printed.

Author(s)

Zhou Fang

References

Zhou Fang and Nicolai Meinshausen (2009), Liso for High Dimensional Additive Isotonic Regression, available at http://blah.com

See Also

multistep, summary.multistep

Examples

## Use the method on a simulated data set
set.seed(79)
n <- 100; p <- 50

## Simulate design matrix and response
x <- matrix(runif(n * p, min = -2.5, max = 2.5), nrow = n, ncol = p)
y <- scale(3 * (x[,1]> 0), scale=FALSE)  + x[,2]^3 + rnorm(n)

## try lambda = 2
fits <- liso.backfit(x,y, 2)
print(fits)

Results