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implementing robustness checks for Bayes Factor à la JASP #472

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IndrajeetPatil opened this issue Oct 9, 2021 · 2 comments
Open

implementing robustness checks for Bayes Factor à la JASP #472

IndrajeetPatil opened this issue Oct 9, 2021 · 2 comments
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enhancement 💥 Implemented features can be improved or revised

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@IndrajeetPatil
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I think this will be a nice addition to the already exhaustive coverage we have of Bayes Factor computation:

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@IndrajeetPatil IndrajeetPatil added the enhancement 💥 Implemented features can be improved or revised label Oct 9, 2021
@mattansb
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Some caveats:

  1. For Stan based models, this will be computationally expensive. But also, see check sensitivity to priors specification #189
  2. For BayesFactor models we run into the problem that these models don't have an update() method, so we would have to build the whole thing from scratch. JASP runs these models for the user anyway, so it's not really an issue for them.

@mattansb
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I mean, I think they only way to do this would be to have wrappers for the simple BayesFactor functions? But I don't think bayestestR would be the place for that. Maybe one of your packages?

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@IndrajeetPatil @mattansb