Diagnostic Tools for Logistic and Conditional Logistic Regression

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Documentation for package ‘CLRtools’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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