| cmss | Covariate-Matched Study Strap for Multi-Study Learning: Fits accept/reject algorithm based on covariate similarity measure |
| fatTrim | fatTrim: Supporting function to reduce the size of models |
| merged | Merged Approach for Multi-Study Learning: fits a single model on all studies merged into a single dataframe. |
| sim.metrics | Study Strap similarity measures: Supporting function used as the default similarity measures in Study Strap, SSE, and CMSS algorithms. Compares similarity in covaraite profiles of 2 studies. |
| ss | The Study Strap for Multi-Study Learning: Fits Study Strap algorithm |
| sse | Trained-on-Observed-Studies Ensemble (Study-Specific Ensemble) for Multi-Study Learning: fits one or more models on each study and ensembles models. |
| studyStrap.predict | Study Strap Prediction Function: Makes predictions on object of class "ss" |