[Distutils] Improved Stats Features in Python

[Ralf Gommers]

On Sat, Sep 10, 2016 at 10:01 AM, Rui Sarmento <rui_sarmento at hotmail.com>
wrote:

> Dear Ralf,
>
> Thank you for your suggestions. About the Bartlett test I'm aware that one
> of his tests (equal variance of samples) is already available. Nonetheless,
> I'm not talking about that particular test but about other Bartlett's test.
> The test I wish to contribute is directed to Factor Analysis and is related
> to the test for sphericity. I'll try to submit both to the statsmodel.
>

Ah okay, thanks - learned something new. For Bartlett's sphericity test
statsmodels is probably also the best place indeed.

Cheers,
Ralf



> Best Regards,
>
> Rui
> Às 22:46 de 09-09-2016, Ralf Gommers escreveu:
>
>
>
> On Fri, Sep 9, 2016 at 6:29 PM, Ronny Pfannschmidt <
> opensource at ronnypfannschmidt.de> wrote:
>
>> Hello Rui,
>>
>> this mailing list deal with tools you can use to publish 3rd party
>> packages to something like the pypi package index,
>>
>> if you want to add to the python stdlib, you need to get started with
>> python-ideas, python-dev and very likely write a PEP that will have to get
>> accepted.
>>
>> if you just want to publish your own library, you just need to upload it
>> to pypi and make it known.
>>
>> -- Ronny
>>
>> On 06.09.2016 17:06, Rui Sarmento wrote:
>>
>>> Dear Sirs,
>>>
>>> I've implemented some stats functions related to Factor Analysis in the
>>> statistics area. Specifically, the KMO test and the Bartlett test also. At
>>> this time I do not seem to find any module performing these tests. Is there
>>> any chance I could add these functions to a package in Python. What is the
>>> procedure to perform such contribution.
>>>
>>
> Barlett is already implemented in SciPy: http://docs.scipy.org/doc/
> scipy/reference/generated/scipy.stats.bartlett.html
>
> KMO isn't available anywhere as far as I can tell; statsmodels would be
> the best place if you would like to contribute your implementation there.
> See http://statsmodels.sourceforge.net/devel/dev/ for how to go about
> that. I wouldn't bother proposing that for stdlib inclusion, it's way too
> specialized for that.
>
> Cheers,
> Ralf
>
>
>
>>> Thank you very much in advance for the suggestions.
>>>
>>> Best Regards,
>>>
>>> Rui
>>>
>>> _______________________________________________
>>> Distutils-SIG maillist  -  Distutils-SIG at python.org
>>> https://mail.python.org/mailman/listinfo/distutils-sig
>>>
>>
>> _______________________________________________
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>>
>
>
>
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