[HN Gopher] Lisp-stat: An environment for Statistical Computing
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Lisp-stat: An environment for Statistical Computing
Author : sieste
Score : 48 points
Date : 2021-03-30 08:56 UTC (1 days ago)
(HTM) web link (lisp-stat.dev)
(TXT) w3m dump (lisp-stat.dev)
| bgk wrote:
| Did Symbolics Pte. Ltd. bother to contact Luke Tierney[1] before
| taking both his code and name and co-opting them as their own?
|
| Edit: [1] https://homepage.stat.uiowa.edu/~luke/xls/xlsinfo/
|
| (I guess the downvotes for a reasonable question provide the
| answer)
| podiki wrote:
| Care to provide any background or supporting information, for
| those of thus that don't know who that is or about this
| project?
| bluefox wrote:
| http://homepage.divms.uiowa.edu/~luke/xls/xlsinfo/xlsinfo.ht.
| ..
|
| This is Lisp-Stat.
|
| This website looks like a (sad, tasteless) April Fools' joke.
| bgk wrote:
| Right, from my understanding, Lisp-Stat originated with
| Luke Tierney.
|
| The latest efforts to extend and work with those ideas/code
| base are at https://github.com/blindglobe/common-lisp-stat
| and work by Tamas Papp (https://tamaspapp.eu/post/orphaned-
| lisp-libraries/)
|
| Forking open source code is fine, but why try to take over
| the name?
| bluefox wrote:
| It has already made some damage. Now this website is the
| first result you get when you type "lisp stat" in DDG.
|
| Hopefully when the joke is over, the owner will instead
| redirect to Tierney's site or replace this nonsense with
| something more respectful.
| vindarel wrote:
| At least it's making it (along with more libraries)
| available out of the box and in Jupyter notebooks. How do
| you get the first lisp-stat? https://homepage.divms.uiowa.e
| du/~luke/xls/xlsinfo/node1.htm... I laugh in despair.
|
| And the website \o/
| jensgk wrote:
| No joke at all. It is from 1998 or earlier.
| bluefox wrote:
| Re-read my comment.
| regularfry wrote:
| On a quick scour of the source code at
| https://github.com/Lisp-Stat/lisp-stat, I can see that
| there's a `Copyright (c) 1991 by Luke Tierney` on
| `base/variables.lisp` in the initial commit. Interestingly,
| this code is released under the Microsoft Public License,
| which includes the text: "Copyright Grant- Subject to the
| terms of this license, including the license conditions and
| limitations in section 3, each contributor grants you a non-
| exclusive, worldwide, royalty-free copyright license to
| reproduce its contribution, prepare derivative works of its
| contribution, and distribute its contribution or any
| derivative works that you create" which would imply that the
| answer to the GP's question needs to be "yes".
|
| Note: I have no idea who Luke Tierney is or what his
| contributions to this area might be, which is a failing on my
| part.
| clircle wrote:
| Luke is the architect of xlisp-stat and current R code team
| member.
| phillc73 wrote:
| There's a mention and some short history on this new
| project's About page.[1]
|
| [1] https://lisp-stat.dev/about/
| regularfry wrote:
| Yeah. No closer to understanding the licence situation,
| but it's looking interesting.
| stray wrote:
| It's been April fools Day for about five hours already in
| Singapore.
|
| But I'm sure that has nothing to do with this and it''s 100%
| legit.
| [deleted]
| [deleted]
| jensgk wrote:
| This brings back memories. I used xlispstat for my engineering
| thesis on pruning of neural networks in 1992. I enjoyed it very
| much. I still have Luke Tierney's book LISP-STAT. I also used
| Splus, the ancestor to R, which was also very good, but not open
| source.
| bionhoward wrote:
| idea: put some code blocks on the homepage so we can see how it
| looks right away
| snicker7 wrote:
| Lisp totally works for scientific/statistical computing! Julia,
| for example, is commonly called a Lisp. And S/R/&c. are also very
| lispy. As is APL, to a lesser extent.
| remexre wrote:
| Though of course, https://i.redd.it/zcavazlx5sm51.jpg applies
| to that :)
| TooKool4This wrote:
| Aside from the language features, some of the libraries in
| Julia make it really useful for statistical computing. One
| really cool library I am trying to use more and more in Julia
| is the Measurements library [1]. With the multiple dispatch
| system in Julia its super easy to integrate into most problems
| and can let you estimate error bounds on values programs
| produce. Super important for scientific applications.
|
| I am hoping in the future that I can mix this in with some
| auto-diff problems to get uncertainty bounds on estimation
| problems with minimal fiddling with covariance matrices. Right
| now the performance is the only problem in integrating the
| library into pretty much any problem :(
|
| [1] https://github.com/JuliaPhysics/Measurements.jl
| clircle wrote:
| I'm intrigued. This looks like an update to xlisp-stat that
| interfaces with some newer CL libraries.
|
| There is a nice paper about why UCLA switched from Lisp to R in
| the 90s. https://www.jstatsoft.org/article/view/v013i07
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