best_subset_classifier: Best subset classifier

In autoMrP: Improving MrP with Ensemble Learning

Best subset classifier

Description

best_subset_classifier applies best subset classification to a data set.

Usage

best_subset_classifier(
  model,
  data.train,
  model.family,
  model.optimizer,
  n.iter,
  y,
  verbose = c(TRUE, FALSE)
)

Arguments

model	Multilevel model. A model formula describing the multilevel model to be estimated on the basis of the provided training data.
data.train	Training data. A data.frame containing the training data used to train the model.
model.family	Model family. A variable indicating the model family to be used by glmer. Defaults to binomial(link = "probit").
model.optimizer	Optimization method. A character-valued scalar describing the optimization method to be used by glmer. Defaults to "bobyqa".
n.iter	Iterations. A integer-valued scalar specifying the maximum number of function evaluations tried by the optimization method.
y	Outcome variable. A character vector containing the column names of the outcome variable. A character scalar containing the column name of the outcome variable in survey.
verbose	Verbose output. A logical vector indicating whether or not verbose output should be printed.

Value

The multilevel model. An glmer object.

autoMrP documentation built on May 29, 2024, 6:40 a.m.