[SciPy-dev] stats.models report/preannouncement

josef.pktd@gmai... josef.pktd@gmai...
Wed Aug 19 20:05:33 CDT 2009

2009/8/19 Stéfan van der Walt <stefan@sun.ac.za>:
> Hi guys,
> 2009/8/19 josef.pktd@gmail.com <josef.pktd@gmail.com>:
>> Most importantly, almost every result has been verified with at least
>> one other statistical package, R, Stata and SAS. The guiding principal
>> for the rewrite was that all numbers have to be verified, even if we
>> don't manage to cover everything. There are a few remaining issues,
>> that we hope to clear up by next week. Not all parts of the code have
>> been tested for unexpected inputs. We are currently adding checks for,
>> and conversions of array types and dimension. Additionally, many of
>> the tests call rpy to compare the results directly with R. We use an
>> extended wrapper for R models in the test suite. This provides greater
>> flexibility writing new test cases, but will eventually be replaced by
>> hard coded expected results.
>> The code is written for plain NumPy arrays.
> Thanks for all your hard work!
>> We can either package it as a scikit or as a independent
>> package distributed through pypi.
> SciKits are also distributed through pypi.  It's basically just a
> naming/namespace convention.  All scikits.* packages from pypi are
> also listed automatically on
> http://scikits.appspot.com


Is it worth setting up a scikits if the code goes into scipy in a few months?
I never looked at how high the setup costs for a scikits are. A plain
python package looks easier. However, I have no experience in
distributing a package.


> Cheers
> Stéfan
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