print.cvdglars: Print a cvdglars Object

In dglars: Differential Geometric Least Angle Regression

Print a cvdglars Object

Description

Print information about the dgLARS models selected by k-fold cross-validation deviance.

Usage

## S3 method for class 'cvdglars'
print(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

x	fitted dglars object
digits	significant digits in printout
...	additional print arguments

Details

The call that produced the object x is printed, followed by the estimate of the coefficients of the variables included in the active set. Such estimates are obtained using the whole data set while the optimal value of the tuning parameter is estimated by k-fold cross-validation deviance. The last part of the print gives information about the k-fold cross-validation deviance, the algorithm and the method used to compute the solution curve.

Value

The vector of the estimates is silently returned.

Author(s)

Luigi Augugliaro
Maintainer: Luigi Augugliaro [e-mail]

See Also

cvdglars function.

Examples

######################
# Logistic regression model

set.seed(123)

n <- 100
p <- 10
X <- matrix(rnorm(n*p) ,n, p)
b <- 1:2
eta <- b[1] + X[,1] * b[2]
mu <- binomial()$linkinv(eta)
y <- rbinom(n, 1, mu)
fit <- cvdglars.fit(X, y, family = "binomial")
fit

dglars documentation built on Oct. 10, 2023, 1:08 a.m.