check_logit {RegAssure}

Check Assumptions for Logit Models

Description

This function performs assumption checks for logistic regression models, including binary, multinomial, and ordered models. It conducts various tests to assess the validity of the model assumptions.

Usage

check_logit(
  logit_model,
  data,
  tipo_modelo,
  vars_numericas = NULL,
  y = NULL,
  auc = NULL,
  ci = NULL,
  ret = NULL
)

Arguments

logit_model

Fitted logistic regression model.

data

dataframe containing predictor variables.

tipo_modelo

Type of logistic regression model: ("binario", "multinomial", "ordenado", "binary", "multinomial", "ordered", "ordinal")

vars_numericas

Numeric variables to be used in Box-Tidwell test. Default is NULL.

y

Response variable for ROC test. Default is NULL.

auc

roc function argument.

ci

roc function argument.

ret

roc function argument.

Value

A list containing the results of assumption checks.