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Custom degrees of freedom argument for the PowerDivergenceTest
#266
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Makes sense. Could you provide other references about this adjustment? Would you be willing to make a pull request? |
Sure, I will make a pull request to the end of this week. |
Hello @BERENZ. May I ask about the state of this issue? It looks like you already have a commit in your fork for this. It there something else missing that needs to be done before the upstreaming? I can help with something if necessary. |
I am also interested in this functionality. I imagine it would work like the What can I do to help make this happen? |
Is it possible to add a custom parameter for the degrees of freedom in the$G^2, \chi^2$ ) as the current implementation does not account for the number of parameres of the reference distribution. I think that implementation proposed in scipy.stats.power_divergence seems be the right way to do so (
PowerDivergenceTest
function which will be an adjustment to the df for the p-value? This may be useful for the goodness of fit tests (ddof
parameter). Now, the user needs to remember to correct p-value after the test.The text was updated successfully, but these errors were encountered: