| Alligators | Untabeled alligator food choice data |
| diagnose_separation | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.bracl | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.brmultinom | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.character | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.clm | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.default | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.factor | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.formula | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.glm | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.integer | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.logical | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.matrix | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.multinom | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.numeric | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.osm | Detailed separation diagnostic for all categorical outcomes. |
| diagnose_separation.polr | 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 design matrix from a formula-data combination for the pre-fit separation check functions. |
| 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 |
| recession_cone.bracl | Recession cone calculation |
| recession_cone.brmultinom | Recession cone calculation |
| recession_cone.character | Recession cone calculation |
| recession_cone.clm | Recession cone calculation |
| recession_cone.default | Recession cone calculation |
| recession_cone.factor | Recession cone calculation |
| recession_cone.formula | Recession cone calculation |
| recession_cone.glm | Recession cone calculation |
| recession_cone.integer | Recession cone calculation |
| recession_cone.logical | Recession cone calculation |
| recession_cone.matrix | Recession cone calculation |
| recession_cone.multinom | Recession cone calculation |
| recession_cone.numeric | Recession cone calculation |
| recession_cone.osm | Recession cone calculation |
| recession_cone.polr | Recession cone calculation |
| separation_columns | Identify separation columns |
| separation_columns.bracl | Identify separation columns |
| separation_columns.brmultinom | Identify separation columns |
| separation_columns.character | Identify separation columns |
| separation_columns.clm | Identify separation columns |
| separation_columns.default | Identify separation columns |
| separation_columns.factor | Identify separation columns |
| separation_columns.formula | Identify separation columns |
| separation_columns.glm | Identify separation columns |
| separation_columns.integer | Identify separation columns |
| separation_columns.logical | Identify separation columns |
| separation_columns.matrix | Identify separation columns |
| separation_columns.multinom | Identify separation columns |
| separation_columns.numeric | Identify separation columns |
| separation_columns.osm | Identify separation columns |
| separation_columns.polr | Identify separation columns |
| separation_rows | Identify separation rows |
| separation_rows.bracl | Identify separation rows |
| separation_rows.brmultinom | Identify separation rows |
| separation_rows.character | Identify separation rows |
| separation_rows.clm | Identify separation rows |
| separation_rows.default | Identify separation rows |
| separation_rows.factor | Identify separation rows |
| separation_rows.formula | Identify separation rows |
| separation_rows.glm | Identify separation rows |
| separation_rows.integer | Identify separation rows |
| separation_rows.logical | Identify separation rows |
| separation_rows.matrix | Identify separation rows |
| separation_rows.multinom | Identify separation rows |
| separation_rows.numeric | Identify separation rows |
| separation_rows.osm | Identify separation rows |
| separation_rows.polr | Identify separation rows |
| Silvapulle | Psychiatric Cases Classification based on GHQ of Silvapulle (1981) |
| structure_vectors | Structure Vector S3 Generic |
| structure_vectors.default | Structure Vector S3 Generic |
| structure_vectors.formula | Structure Vector S3 Generic |
| titanic3 | All people of age 3 in the Kaggle Titanic data set |