lasso2 (version 1.2-20)

summary.gl1ce: Summary Method for Generalized L1 Constrained Regression Models

Description

Returns (and prints) a summary list for fitted generalized L1 constrained regression models.

Usage

# S3 method for gl1ce
summary(object, dispersion = NULL, correlation = FALSE, …)
# S3 method for summary.gl1ce
print(x, digits = max(3, getOption("digits") - 3), …)

Arguments

object

fitted gl1ce model object. This is assumed to be the result of some fit that produces an object inheriting from the class gl1ce, in the sense that the components returned by the gl1ce() function will be available.

dispersion

prescribed dispersion, see summary.glm.

correlation

logical indicating if the correlation matrix should be returned as well.

x

object of class summary.gl1ce.

digits, …

further arguments for the print method.

Value

an object of class summary.gl1ce (for which there's a print method). It is basically a list with the following components:

call

as contained on object

residuals

the deviance residuals, as produced by residuals(object, type = "deviance").

coefficients

the coefficients of the model.

family

the family of models to which object belongs, along with the variance and link functions for that model.

bound

the bound used in fitting this model

Lagrangian

the Lagrangian of the model

Details

This function is a method for the generic function summary for class gl1ce. It can be invoked by calling summary for an object of the appropriate class, or directly by calling summary.gl1ce regardless of the class of the object.