Re: Skew-t distribution

Ralf Gommers <[email protected]> Wed, 26 Jul 2023 00:08:17 +0200
Newsgroups gmane.comp.python.scientific.devel
Message-ID <CABL7CQiJDY0L6PBznMq4tfwHmgF1VE43GFUQwy59hrP1mvLLGQ@mail.gmail.com>
On Tue, Jul 25, 2023 at 5:05 AM Albert Steppi <[email protected]>
wrote:

> +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.
>>
>
Thanks for the proposal John. This looks like a good fit, and the paper on
this distribution easily has enough citations to show that it's of
interest.


>
>> Please let me know if there is anything else I need to do - this is the
>> first time I've tried to contribute!
>>
>
I think you've done it all - you've gotten multiple thumbs-up's, and your
PR already seems to be in pretty good shape. So getting that merged is all
that's left to do here I think.

Cheers,
Ralf

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