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Most of the models do include parameters that do make the posterior predictive mean to match the observed mean, and the test statistic "mean" is perfectly dependent and not ancillary as required so that ppc would make some sense. stat="mean" might make sense given grouping if the groups don't have their own intercept parameters. I have recently seen too many times people posting ppc_stat plots with stat="mean" and the plots have zero information content. I guess we can't change the default to not break existing code.
When calling ppc_stat() with the default stat or with explicit stat="mean", create a warning saying "Test statistic "mean" is unlikely to be ancillary and thus likely to not provide any useful information. We recommend using some other test statistic." or if we want to avoid the word "ancillary" then warn: "Test statistic "mean" is very weak to detect anything interesting in most cases. We recommend using some other test statistic."
Change the ppc_stat doc to describe the problem with "mean" test statistic and use some other test statistic in the example
The text was updated successfully, but these errors were encountered:
Most of the models do include parameters that do make the posterior predictive mean to match the observed mean, and the test statistic "mean" is perfectly dependent and not ancillary as required so that ppc would make some sense.
stat="mean"
might make sense given grouping if the groups don't have their own intercept parameters. I have recently seen too many times people postingppc_stat
plots withstat="mean"
and the plots have zero information content. I guess we can't change the default to not break existing code.ppc_stat()
with the defaultstat
or with explicitstat="mean"
, create a warning saying "Test statistic "mean" is unlikely to be ancillary and thus likely to not provide any useful information. We recommend using some other test statistic." or if we want to avoid the word "ancillary" then warn: "Test statistic "mean" is very weak to detect anything interesting in most cases. We recommend using some other test statistic."ppc_stat
doc to describe the problem with "mean" test statistic and use some other test statistic in the exampleThe text was updated successfully, but these errors were encountered: