Description Objects from the Class Slots Methods Examples

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

`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

- show
object

1 | ```
LogReg()
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.