Class "GroupLavaFit"

Class "GroupLavaFit"

Class "GroupLavaFit"

Details

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

See also

QuadrupenFit, group.lava()

Super classes

quadrupen::QuadrupenFit -> quadrupen::LavaFit -> GroupLavaFit

Active bindings

penalty

character describing the regularizer/penalty

group

vector of integers indicating group belonging

type

string indicating whether the \(\ell_1/\ell_2\) or the \(\ell_1/\ell_\infty\) group-Lasso must be fitted.

Methods

Public methods

• GroupLavaFit$new()

• GroupLavaFit$clone()

Inherited methods

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

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Method new()

Initialize a GroupLavaFit model

Usage

GroupLavaFit$new(data, intercept, group, type, regParam)

Arguments

data

a DataModel object

intercept

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

group

vector of integers indicating group belonging.

type

string indicating whether the \(\ell_1/\ell_2\) or the \(\ell_1/\ell_\infty\) group-Lasso must be fitted.

regParam

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

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Method clone()

The objects of this class are cloneable with this method.

Usage

GroupLavaFit$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.