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I couldn't find anything in the other packages that behave similarly. Not necessarily asking for a change in this package, just the reason behind the (at least to me) confusing notation.
When computing the ks.test in R (using RCall to maintain the values of the samples) the statistic corresponds to the point estimate in the Julia output. Whereas the returned KS-statistic from this package is a different number altogether, which according to the source code corresponds to the value of c(\alpha) (the KS statistic * \sqrt((n*m)/(n+m)).
It seems that the x.\delta (aka the point estimate) and the statistic being returned from R are in line with the definition of the KS-statistic: the supremum function evaluated at the difference of the observed CDFs for the two samples. In this case, why is c(\alpha) being returned as the KS-statistic?
Thank you very much for your time, I greatly appreciate any input you're willing to provide on this matter.
The text was updated successfully, but these errors were encountered:
Hi,
I couldn't find anything in the other packages that behave similarly. Not necessarily asking for a change in this package, just the reason behind the (at least to me) confusing notation.
When computing the ks.test in R (using RCall to maintain the values of the samples) the statistic corresponds to the point estimate in the Julia output. Whereas the returned KS-statistic from this package is a different number altogether, which according to the source code corresponds to the value of c(\alpha) (the KS statistic * \sqrt((n*m)/(n+m)).
It seems that the x.\delta (aka the point estimate) and the statistic being returned from R are in line with the definition of the KS-statistic: the supremum function evaluated at the difference of the observed CDFs for the two samples. In this case, why is c(\alpha) being returned as the KS-statistic?
Thank you very much for your time, I greatly appreciate any input you're willing to provide on this matter.
The text was updated successfully, but these errors were encountered: