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@thurnandtaxis @Shooshan5 @EHillLab @causalinf If I may, as R is an open source langage, it also has a lower entry cost – literally speaking, as it is free to download and use. Because of this, people who work in budget constraint environment can still participate in reproducibility efforts.Permalink
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Mood +1 🙂
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@thurnandtaxis @Shooshan5 @EHillLab @causalinf Another challenge regarding reproducibility is to assess how the algorithms behind the code work. When the langage is open source, it is possible to look at the implementation. It is more difficult to do with proprietary langages like Stata.
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Mood 0
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@thurnandtaxis @Shooshan5 @EHillLab @causalinf (It sometimes exists different algorithms to do the same thing, or the same algorithm can be implemented in different ways. It can lead to different results, so this is why it is important to know how the algorithm was implemented, to know why the results are different.)Permalink
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Mood +2 🙂