grpl.model-class {grplasso}R Documentation

Class "grpl.model": Group Lasso Models

Description

Objects of class "grpl.model" define link function, negative log-likelihood and corresponding gradient and Hessian for the model to be used in a Group Lasso problem.

Objects from the Class

Objects can be created by calls of the form grpl.model(...)

Slots

invlink
a function with arguments eta implementing the inverse link function.
link
a function with arguments mu implementing the link function.
nloglik
a function with arguments y, mu and weights implementing the negative log-likelihood function.
ngradient
a function with arguments x, y, mu and weights implementing the negative gradient of the log-likelihood function.
nhessian
a function with arguments x, mu and weights implementing the negative hessian of the log-likelihood function.
check
a function with argument y to check whether the response has the correct format.
name
a character name
comment
a character comment

Methods

show
object

Examples

  LogReg()

[Package grplasso version 0.4-2 Index]