[Openmcl-devel] LISP & Statistics

[Robert Goldman]

Rainer Joswig wrote:
> 
> Am 08.06.2009 um 01:56 schrieb Steve Núñez:
> 
>> Gentlemen,
>>
>> I hope you’ll forgive a question that’s only tangentially related to
>> OpenMCL...
>>
>> I’ve got a project coming up that involves predictive modelling and
>> PMML. This is an area I have been involved with in the past, but am
>> quite rusty. It seems that the ‘state of the art’ is ‘R’. It’s an
>> active, up to date project, with many contributions. In the Lisp side,
>> there’s ‘lisp-stat’, which seems dead.
>>
>> I don’t mind learning ‘R’, but it’s YAL (Yet Another Language — when
>> are we (the industry) going to stop wasting time with this?), but
>> would prefer not to add the learning curve time required to the project.
>>
>> Are there any viable alternatives for doing statistics in Lisp?
> 
> Funny at least one of the authors of R was/is looking into moving to
> Common Lisp.
> 
> See the article 'Back to the Future: Lisp as the base for a Statistical
> Computing System'.
> 
> http://books.google.com/books?id=8Cf16JkKz30C&pg=PA21&lpg=PA21
> <http://books.google.com/books?id=8Cf16JkKz30C&pg=PA21&lpg=PA21>
> 
> Also see these talks:  http://www.stat.auckland.ac.nz/~ihaka/?Talks
> 
> Here is some 'statistics' code for Common Lisp:
> 
>    http://github.com/blindglobe
> 
> Above also hosts a Common Lisp version of the core of 'lisp-stat'.
> 
> The CL Directory links to maths libraries:
>   http://www.cl-user.net/asp/tags/11071
> 
> Also see the CLIKI page:
> 
> http://www.cliki.net/Mathematics

A long time ago I used Larry Hunter's bio statistics CL code.  But I
don't know that it was really aimed at the same task as yours.  See
http://compbio.uchsc.edu/Hunter_lab/Hunter/cl-statistics.lisp
> 
> 
> Regards,
> 
> Rainer Joswig
> 
> 
> 
>>
>> Regards,
>>     - Steve
>>
>> -- 
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> 
> Rainer Joswig, Hamburg, Germany
> http://lispm.dyndns.org/
> mailto:joswig at lisp.de
> 
> 
> 
> 
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