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"
