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Description: Simulation studies comparing different approaches to a particular research task play an important role in establishing the evidence base for biostatistical methods. However, conducting such studies is not a trivial task in itself. Key issues discussed in the biostatistical literature comprise the replicability of the simulations, transparent and complete reporting and neutrality. Well-designed and easy to use software tools can help addressing these concerns. While software packages exist for many different types of simulation tasks, authors of publications often develop their own ad-hoc simulation code. As a step towards the standardization of coding practices and code sharing, we provide an overview of existing software packages in the programming language R to support simulation studies, with a focus on the coding of the data generating mechanism. In this repository you will find commented results from the package search, as well as slides to talks I have given on the topic.