| logistf-package | Firth's Bias-Reduced Logistic Regression |
| {logistf}-package | Firth's Bias-Reduced Logistic Regression |
| add1.logistf | Add or Drop All Possible Single Terms to/from a 'logistf' Model |
| anifood | case-control data |
| anova.logistf | Analysis of Penalized Deviance for 'logistf' Models |
| backward | Backward Elimination/Forward Selection of Model Terms in logistf Models |
| backward.flac | Backward Elimination/Forward Selection of Model Terms in logistf Models |
| backward.flic | Backward Elimination/Forward Selection of Model Terms in logistf Models |
| backward.logistf | Backward Elimination/Forward Selection of Model Terms in logistf Models |
| cacheit | Function to cache long operations |
| calc_strata_or | Calculate the pooled strata OR |
| case_control | nncc: nearest-neighbors matching for case-control data |
| CLIP.confint | Confidence Intervals after Multiple Imputation: Combination of Likelihood Profiles |
| CLIP.confint.difflevel | Combine confidence interval for 'logistf' after multiple imputation |
| CLIP.profile | Combine Profile Likelihoods from Imputed-Data Model Fits |
| distance_density_plot | Distance density plots comparing closest to random choices |
| excl_vars | Variables excluded from matching |
| finalize_data | Final cleaning of the matched dataset(s) |
| fix_df | Fix the strata so they all have at least one case and control |
| flac | FLAC - Firth's logistic regression with added covariate |
| flac.formula | FLAC - Firth's logistic regression with added covariate |
| flac.logistf | FLAC - Firth's logistic regression with added covariate |
| flic | FLIC - Firth's logistic regression with intercept correction |
| flic.formula | FLIC - Firth's logistic regression with intercept correction |
| flic.logistf | FLIC - Firth's logistic regression with intercept correction |
| forward | Backward Elimination/Forward Selection of Model Terms in logistf Models |
| forward.logistf | Backward Elimination/Forward Selection of Model Terms in logistf Models |
| get_paf | Calculate population attributable fraction using odds ratio |
| get_threshold | Identify the right threshold |
| isspecnum | Is specnum |
| logistf | Firth's Bias-Reduced Logistic Regression |
| logistf.control | Control Parameters for 'logistf' |
| logistf.fit | Fit a Firth logistic regression model |
| logistf.pdf | Likehood-ratio test of two models |
| logistftest | Penalized likelihood ratio test |
| logistpl.control | Default logistpl control |
| make_analysis_set | Make analysis set |
| make_analysis_sets | Make analysis datasets |
| make_knn_strata | Make case-control strata using k nearest neighbors (knn) |
| matching | nncc: nearest-neighbors matching for case-control data |
| nearest_neighbors | nncc: nearest-neighbors matching for case-control data |
| nncc | nncc: nearest-neighbors matching for case-control data |
| original_compare_plot | Compare the original strata's distances to the knn version |
| plot.logistf.profile | 'plot' Method for 'logistf' Likelihood Profiles |
| plot_results | Plot the OR results |
| predict.flac | Predict Method for flac Fits |
| predict.flic | Predict Method for flic Fits |
| predict.logistf | Predict Method for logistf Fits |
| profile.logistf | Compute Profile Penalized Likelihood |
| PVR.confint | Pseudo Variance Modification of Rubin's Rule |
| sex2 | Urinary Tract Infection in American College Students |
| sexagg | Urinary Tract Infection in American College Students |
| test_mh | Calculate odds ratios |
| threshold_model_plot | Show the prediction of the logistic regression model |
| unique_controls | Ensures controls are unique to avoid possible pseudoreplication issues |
| write_strata_or_output | Format strata output into CSV |