R: Diagnostic Tools for Logistic and Conditional Logistic Regression

# Diagnostic Tools for Logistic and Conditional Logistic Regression

## Documentation for package ‘CLRtools’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

check_coef_change | Assess Coefficient Change After Variable Removal
check_coef_significant | Check Significance of Excluded Variables
check_interactions | Check Pairwise Interactions in Logistic Regression
coeff.OR | Compute Odds Ratios for Logistic and Conditional Logistic Regression Models
compare_bayesm | Posterior Predictive Check for Multiple Bayesian Models
compare_bayesm_by_predictor | Compare Bayesian Models by Predictor Using Posterior Predictive Simulations
compare_models_loo | Compare Bayesian Models Using PSIS-LOO
confidence.interval | Compute Wald-Based Confidence Intervals for Logit and Predicted Probability
cov.patterns | Extract Unique Covariate Patterns from a Logistic Regression Model
cutpoints | Table with Sensitivity and Specificity at Different Cutpoints
delta.coefficient | Delta-beta hat percentage: Change in Coefficients when Adding a Variable
diagnosticplots_class | Diagnostic Plots for Model Discrimination
diagnostic_bayes | Generate MCMC Diagnostic Plots for a Bayesian Model
discordant.pairs | Count Discordant Pairs in Matched Case-Control Data
DRtest | Deviance Residuals Test (HL Test)
glow11m | GLOW11M dataset
glow500 | GLOW500 dataset
logit_prob_plot | Plot Predicted Probabilities from a Logistic Model
osius_rojek | Osius and Rojek Goodness-of-Fit Test for Logistic Regression
rcv_measures | Model Fit Evaluation: R^2-like Measures for Logistic Regression Models with J < n
residuals_clog | Model Diagnostic for Conditional Logistic Regression
residuals_logistic | Model Diagnostic for Logistic Regression Models
r_measures | Model Fit Evaluation: R^2-like Measures for Logistic Regression Models with J=n
stukels_test | Stukel’s Test for Logistic Regression Model Fit
summarize_results | Summarize Bayesian Logistic Regression Model Results
univariable.clogmodels | Univariable Conditional Logistic Regression Models
univariable.models | Univariable Logistic Regression Summary Table