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

In lasso2: L1 Constrained Estimation aka `lasso'

Description

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

Usage

## S3 method for class 'gl1ce'
summary(object, dispersion = NULL, correlation = FALSE, ...)
## S3 method for class '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.

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.

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

lasso2 documentation built on Oct. 8, 2021, 9:10 a.m.