| Alligators | Untabeled alligator food choice data |
| check_overlap | Check overlap |
| check_separation | Check separation |
| csepdat1 | Toy data set with complete separation |
| csepdat2 | Toy data set with complete separation |
| csepdatm | Toy data set with complete separation |
| csepdato | Toy data set with complete separation |
| diagnose_separation | Detailed separation diagnostic for all categorical outcomes. |
| HDSS | Willingness to Share Health Data of Drexler (2026) |
| iris2 | Adapted Iris Dataset |
| linearities | Linearities |
| make_yx | This function is meant to set up a response variable and a... |
| nsduh2019 | A snapshot of the NSDUH 2019 data |
| ohiovoters | Voters in Ohio |
| ovldat1 | Toy data set with overlap. |
| ovldat2 | Toy data set with overlap. |
| ovldatm | Toy data set with overlap. |
| ovldato | Toy data set with overlap. |
| print.sepmod | Print method for sepmod classes |
| print.sepmod_sl | Print method for sepmod_sl classes |
| qcsepdat1 | Toy data set with quasi-complete separation |
| qcsepdat2 | Toy data set with quasi-complete separation |
| qcsepdatm | Toy data set with quasi-complete separation |
| qcsepdato | Toy data set with quasi-complete separation |
| recession_cone | Recession cone calculation |
| separation_columns | Identify separation columns |
| separation_rows | Identify separation rows |
| Silvapulle | Psychiatric Cases Classification based on GHQ of Silvapulle... |
| structure_vectors | Structure Vector S3 Generic |
| titanic3 | All people of age 3 in the Kaggle Titanic data set |
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