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### What is the expected behavior?
For #782, I was thinking about using something like the wonkiness criteria described in #417 but that requires the chi squared without weighting the data po…
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Currently, if I run minimizer with `ignore_prior=True`, `-log(Like)` and `chi-sq` at the top of `{prefix}.bestfit` still represent the posterior. If there are different groups of likelihood, their tot…
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Hey,
absolutely love the package, can't wait for the JSS article! One quick question: When I do not have strata in the table, e.g. using the formula 0 ~ var1 + var2, what exactly are the the null h…
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2.1.6 :112 > Distribution::ChiSquare.q_chi2(4000, 1487)
=> 1.1715358426793223
2.1.6 :113 > Distribution::ChiSquare.q_chi2(4000, 1488)
=> 1.287980205519492
2.1.6 :114 > Distribution::ChiSquare.q_chi2…
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Cosmosis pre-normalizes the input parameters before taking the numerical derivatives, so the step size depends on the parameter. Add an option to do something similar, which will allow for easier vali…
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I can't seem to find much info on how to exactly evaluate both binomial and non-binomial metrics at the same time within a dataframe that gets input within the Experiment class.
It seems that, eve…
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e.g.,
https://doi.org/10.1371/journal.pone.0188709
https://www.real-statistics.com/chi-square-and-f-distributions/independence-testing/independence-testing-follow-up/
http://web.pdx.edu/~newsomj/…
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Nice job performing the chi-squared tests and drawing the correct conclusions from them! In your presentation slides, you could elaborate a bit more on the tests - perhaps state which specific groups …
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Hello!
Sorry to bother again. I have another question. this may be more of a statistical question, but I was wondering, if I apply the chi-square test to compare fold-changes across all the genes, …
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It would very interesting if JASP could provide standardized/adjusted standardized residuals for _a_ _posteriori_ comparisons when running chi-square tests.
This feature is quite important mainly …