The framework strategically groups modeling techniques with associated verification and validation techniques to make the underlying assumptions of the statistics more clear. This paper surveys a collection of parallel implementations of statistics algorithm developed as part of a common framework over the last 3 more ยป years. These packages are also largely serial in nature, or target multicore architectures instead of distributed-memory systems, or provide only a small number of statistics in parallel. Most statistical software packages implement a broad range of techniques but do so in an ad hoc fashion, leaving users who do not have a broad knowledge of statistics at a disadvantage since they may not understand all the implications of a given analysis or how to test the validity of results.
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