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Filter extremely small p-values by setting them to Machine$double.xmin #112
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Add a helper function that calls pchisq and then filters any p-values that are smaller than Machine$double.xmin to the double.xmin value.
mconomos
reviewed
Mar 20, 2024
pchisq behaves a little differently for df=0 than for df>0, and you can legitimately get pval=0 when df=0. We don't want to set those zeros to the double.xmin value. Also update the test to use expect_identical instead of expect_equal, which checks within a tolerance.
Include testing with lower.tail=TRUE
Not needed; the previous call to pchisq should handle it if the user doesn't include df as an argument.
mconomos
reviewed
Mar 22, 2024
smgogarten
approved these changes
Mar 25, 2024
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Looks great, thanks
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For any p-values calculated by pchisq, set any p-values smaller than Machine$double.xmin to the double.xmin value. This should help prevent pval=0 cases.
Closes #111