Maksim Terpilovskii
Maksim Terpilovskii
@comatrion Thank you for suggestion! I will implement it soon.
@mysticaltech This test relies upon multivariate Student's t-distribution function ([pmvt](https://www.rdocumentation.org/packages/mvtnorm/versions/1.1-0/topics/pmvt) in R). AFAIR, I could not find a usable implementation of it in Python a year ago. It would be...
I have looked at the code in `pmvt` R package and even tried to implement bindings to Fortran code, but failed. This is not trivial. No progress so far, unfortunately....
@Ronny-PDT Thank you for your interest! Unfortunately, I do not have enough time to work with it now. You can try to implement it yourself and do a pull request
@Tsuchihashi-ryo Thank you very much!
I have checked the algorithm and found no errors. Dunn suggests ranking all data in the [original paper](https://www.stat.cmu.edu/technometrics/59-69/VOL-06-03/v0603241.pdf).
I have rechecked this with the latest version of `scipy`. Now it is not throwing such an error. No fix is needed.
Hi! Thank you for reporting this. You should be using `posthoc_tukey_hsd` function instead of `posthoc_tukey`. But I do not like how both of them are implemented. Scipy's function was added...
Hello! Thank you for pointing at this. This test was based on statsmodels' implementation of Studentized range distribution. It is bound to 0.1, there is no way to specify alpha...
Thank you! I'm gonna review all the related code in your pull request and this package