REPRODUCIBLE RESEARCH

youthu: Transform Youth Outcomes to Health Utility Predictions

**An** R package that contains tools for finding and using utility mapping models...

specific: Specify Candidate Models for Representing Mental Health Systems

**An** R package that provides tools for specifying and testing models, particularly those we used in developping utility mapping algorithms...

A workflow for replicable data synthesis and simulation research in mental health

A key goal of scientific studies is that they are replicable, i.e. they can be repeated with different data. A step towards this goal is reproducibility, which means enabling other researchers to repeat a study using the same data. In principle, data synthesis and simulation studies have fewer potential barriers to reproducibility and replicability than many experimental designs as they are predominantly performed within scientific computing environments. However, in practice mental health projects of this type frequently have low levels of both reproducibility and replicability.