Re: Skew-t distribution
Albert Steppi <[email protected]> Mon, 24 Jul 2023 23:03:42 -0400
| Newsgroups | gmane.comp.python.scientific.devel |
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| Message-ID | <CAPceVpXz6kxyOcoZhM10snzdgt1seHgshD_VxU3fUWKgO9-CwQ@mail.gmail.com> |
+1, it seems like it would be a good addition. On Mon, Jul 24, 2023 at 2:28 AM JohnWT <[email protected]> wrote: > I was reading through the development workflow page, and it said if I was > trying to add any new functions I should email this mailing list. > > Link to PR: https://github.com/scipy/scipy/pull/18948 > > Link to issue: https://github.com/scipy/scipy/issues/18947 > > Motivation for new distribution: The Jones and Faddy skew-t distribution > provides a good fit to heavy tailed and skewed data. It has several > applications, and is a relatively tractable distribution which makes it > quite easy to use. > > Please let me know if there is anything else I need to do - this is the > first time I've tried to contribute! > > Many thanks > John > _______________________________________________ > SciPy-Dev mailing list -- [email protected] > To unsubscribe send an email to [email protected] > https://mail.python.org/mailman3/lists/scipy-dev.python.org/ > Member address: [email protected] > _______________________________________________ SciPy-Dev mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3/lists/scipy-dev.python.org/ Member address: [email protected]