check_logit: Check Assumptions for Logit Models

In RegAssure: Streamlined Integration of Regression Assumption

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.

RegAssure documentation built on Sept. 8, 2023, 5:36 p.m.