Package summary | What is multi-view stacking? | Why package mvs? | Overview of package functionality | Model fitting | Parallelization | Model generalizations | View importance | Handling missing data | Using mvs step-by-step | Installation | Fitting a basic model | Random forests | Parallel computing | Fitting a model with more than two levels | Fitting a model with missing data | Acknowledgements | References

Introduction | Fitting a mixed-model tree with constant fits | Detecting treatment-subgroup interactions in clustered data | Detecting subgroups with different growth trajectories | R code for generating artificial motivating dataset