print.dglars: Printing a dgLARS Object

In dglars: Differential Geometric Least Angle Regression

Printing a dgLARS Object

Description

Print information about the sequence of models estimated by dgLARS method.

Usage

## S3 method for class 'dglars'
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 a five-column data.frame with columns “Sequence”, “g”, “Dev”, “%Dev” and “n. non zero”. The column named “Sequence” gives information on how is changed the active set along the path. The column “g” shows the sequence of \gamma values used to compute the solution curve, while the columns “Dev” and “%Dev” show the corresponding deviance and the fraction of explained deviance, respectively. Finally the “n. non zero” column shows the number of nonzero coefficients. The last part gives information about the algorithm and the method used to compute the solution curve. The code about the convergence of the used algorithm is also showed.

Value

The data.frame above is silently returned.

Author(s)

Luigi Augugliaro
Maintainer: Luigi Augugliaro [e-mail]

See Also

dglars function.

Examples

#############################
# y ~ Binomial
set.seed(123)
n <- 100
p <- 100
X <- matrix(rnorm(n * p), n, p)
eta <- 1 + 2 * X[,1]
mu <- binomial()$linkinv(eta)
y <- rbinom(n, 1, mu)
fit <- dglars(y ~ X, family = binomial)
fit

# adaptive dglars method
b_wght <- coef(fit)$beta[, 20]
fit <- dglars(y ~ X, family = binomial, b_wght = b_wght) 
fit 

# the first three coefficients are not penalized
fit <- dglars(y ~ X, family = binomial, unpenalized = 1:3) 
fit 

# 'probit' link function
fit <- dglars(y ~ X, family = binomial("probit"))
fit

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