lasso_gam_loop: Internal Function

In plsmselect: Linear and Smooth Predictor Modelling with Penalisation and Variable Selection

Description

Undocumented function. Do not use directly

Usage

lasso_gam_loop(
  data,
  response.name,
  families,
  formulae,
  num.iter,
  tolerance,
  offset.name,
  weights,
  seed
)

Arguments

data	The data with value for all the linear and smooth predictors
response.name	The name of the response variable. Vector of two if family = "binomial"
families	List of two families as returned by find_family
formulae	List of formulae as returned by formula_setup
num.iter	Number of iterations for the gamlasso loop
tolerance	Tolerance for covergence of the gamlasso loop
offset.name	The name of the offset variable. NULL (default) if not provided
weights	Vector with values of the weights variable if it exists. NULL otherwise.
seed	The random seed can be specified for reproducibility. This is used for fitting the gam and lasso models, or fixed before each loop of gamlasso.

plsmselect documentation built on Dec. 1, 2019, 1:11 a.m.