Jason Stover <[EMAIL PROTECTED]> writes: > I have been thinking about this. I can think of several types of > models, including localized regression, generalized linear models and > others, where the the model code needs to know about pspp via the > coefficients only. Classification and regression trees are the only > outstanding example I can think of offhand which violate this rule. > > There are enough models like this to justify a 'statlib' directory > full of models of this type, which do not know about pspp, and a > single module available to them for coefficient data structures, which > know about pspp's variable and value structures. > > Comments?
I seem to recall that when we met at Stanford this summer, it was sort of a "side goal" of yours to write statistical libraries that were useful both inside and outside PSPP. If that's still the case--I do like the idea--then I'd encourage you to take a stab at it. Is there a reason to create a separate "statlib" for statistical libraries? I don't know of a reason that the existing "lib" wouldn't do. The goal of the division of source code in PSPP between "lib" and "src" is just a hint that code in "lib" is not PSPP-specific, whereas code in "src" is. -- "Unix... is not so much a product as it is a painstakingly compiled oral history of the hacker subculture." --Neal Stephenson _______________________________________________ pspp-dev mailing list [email protected] http://lists.gnu.org/mailman/listinfo/pspp-dev
