[Distutils] Improved Stats Features in Python
ralf.gommers at gmail.com
Fri Sep 9 18:07:16 EDT 2016
On Sat, Sep 10, 2016 at 10:01 AM, Rui Sarmento <rui_sarmento at hotmail.com>
> 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.
> Best Regards,
> 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
>> 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/
> 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.
>>> Thank you very much in advance for the suggestions.
>>> Best Regards,
>>> Distutils-SIG maillist - Distutils-SIG at python.org
>> Distutils-SIG maillist - Distutils-SIG at python.org
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