print.sprinter: Print a summary of the sprinter fit
In hugogogo/sprintr: Sparse Reluctant Interaction Modeling

Description Usage Arguments Details See Also Examples

Print a summary of the sprinter fit at each step along the path of tuning parameters used in Step 3, for any given tuning parameter in Step 1.

1 2	## S3 method for class 'sprinter' print(fit, which = 1, digits = max(3, getOption("digits") - 3), ...)

`fit`	A `sprinter` object.
`which`	Which tuning parameter of Step 1 to print. Default is 1.
`digits`	Significant digits in printout.
`...`	Additional print arguments.

The function produces a three-column matrix with tuning parameter values (in Step 3), number of nonzero main effects, and the number of nonzero interactions. Adopted from the function print.rgam from package relgam by Kenneth Tay and Robert Tibshirani.

sprinter.

set.seed(123)
n <- 100
p <- 100
x <- matrix(rnorm(n * p), n, p)
y <- x[, 1] - 2 * x[, 2] + 3 * x[, 1] * x[, 3] - 4 * x[, 4] * x[, 5] + rnorm(n)
fit <- sprinter(x = x, y = y)

print(fit, which = 3)