glmnet.control: Control Object to Allow for Regularized Concomitant Models

In retostauffer/Rfoehnix: Objective Foehn Diagnosis

Control Object to Allow for Regularized Concomitant Models

Description

foehnix allows to estimate regularized concomitant models based on the R package glmnet. The glmnet.control object controls, if specified, the glmnet input arguments.

Usage

glmnet.control(min = "AIC", ...)

## S3 method for class 'glmnet.control'
print(x, ...)

Arguments

min	a character, either "AIC", "BIC", or "loglik". Default is "AIC".
...	additional arguments forwarded to glmnet::glmnet.
x	an object of class glmnet.control (print method).

Details

Note that the two input arguments intercept and family (to function glmnet) cannot be overruled by the foehnix user. In any case a binomial logit model with intercept will be estimated.

Author(s)

Reto Stauffer

retostauffer/Rfoehnix documentation built on June 5, 2023, 11:39 p.m.