RidgeRegressionFit: Class "RidgeRegressionFit"

In quadrupen: Sparse and Group Sparse Linear Models

Class "RidgeRegressionFit"

Description

Class of object returned by the fitting function ridge(). Inherits fields and methods of QuadrupenFit.

Super class

QuadrupenFit -> RidgeRegressionFit

Active bindings

penalty

character describing the regularizer/penalty

lambda2

vector of tuning parameters for the l2 penalty

Methods

Public methods

• RidgeRegressionFit$new()

• RidgeRegressionFit$clone()

Inherited methods

• QuadrupenFit$criteria()
• QuadrupenFit$cross_validate()
• QuadrupenFit$fit()
• QuadrupenFit$get_model()
• QuadrupenFit$plot()
• QuadrupenFit$plot_path()
• QuadrupenFit$predict()
• QuadrupenFit$print()
• QuadrupenFit$show()
• QuadrupenFit$stability()

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RidgeRegressionFit$new()

Initialize a RidgeRegressionFit model

Usage

RidgeRegressionFit$new(data, intercept, regParam)

Arguments

data

a DataModel object

intercept

a logical; should an intercept be included in the mode?

regParam

a list with two elements, a vector and a scalar, for the regularization

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RidgeRegressionFit$clone()

The objects of this class are cloneable with this method.

Usage

RidgeRegressionFit$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

QuadrupenFit, ridge()

quadrupen documentation built on Sept. 18, 2026, 1:06 a.m.