Diagnostic Tools for Logistic and Conditional Logistic Regression
Posterior Predictive Check for Multiple Bayesian Models
Compare Bayesian Models by Predictor Using Posterior Predictive Simula...
Assess Coefficient Change After Variable Removal
Check Significance of Excluded Variables
Check Pairwise Interactions in Logistic Regression
CLRtools: Diagnostic Tools for Logistic and Conditional Logistic Regre...
Compute Odds Ratios for Logistic and Conditional Logistic Regression M...
Compare Bayesian Models Using PSIS-LOO
Compute Wald-Based Confidence Intervals for Logit and Predicted Probab...
Extract Unique Covariate Patterns from a Logistic Regression Model
Table with Sensitivity and Specificity at Different Cutpoints
Delta-beta hat percentage: Change in Coefficients when Adding a Variab...
Generate MCMC Diagnostic Plots for a Bayesian Model
Diagnostic Plots for Model Discrimination
Count Discordant Pairs in Matched Case-Control Data
Deviance Residuals Test (HL Test)
Plot Predicted Probabilities from a Logistic Model
Osius and Rojek Goodness-of-Fit Test for Logistic Regression
Model Fit Evaluation: R^2-like Measures for Logistic Regression Models...
Model Fit Evaluation: R^2-like Measures for Logistic Regression Models...
Model Diagnostic for Conditional Logistic Regression
Model Diagnostic for Logistic Regression Models
Stukel’s Test for Logistic Regression Model Fit
Summarize Bayesian Logistic Regression Model Results
Univariable Conditional Logistic Regression Models
Univariable Logistic Regression Summary Table
Provides tools for fitting, assessing, and comparing logistic and conditional logistic regression models. Includes residual diagnostics and goodness of fit measures for model development and evaluation in matched case control studies.