Phil,
Phil Steitz wrote:
Kim,
Can you be more explicit? Most of your objections were addressed in RC1.
Some of my objections were resolved. The matrix stuff was partially resolved, as is the name of the regression, which is still in the wrong package.
We discussed this and concluded that it did not make sense to combine univariate and multivariate statistics into one package and by any reasonable definition regression (even with just one independent variable) is a multivariate technique. Therefore, it belongs in .multivariate.
Furthermore, the different types of variances remains unsolved, as they are variant's of each other and should be in one single class.
Unfortunately, this is inconsistent with the basic design of the univariate statistics package. Having each statistic class compute just one statistic has lots of advantages -- one of which is that it is trivial to add alternative implementations for the same or similar statistics without breaking compatability with existing code.
And I differ in the basic idea of dealing with regression types (LS, MRA MA).
Right now, we support only simple OLS regression. Post 1.0, we welcome ideas about how to represent and support alternative models.
And I think the random class should be either eliminated (bad random) or be replaced with something more robust so that is actually usefull to be used for serious scientific work.
The value of the random package is in how it *uses* the PRNG, not (at least currently) that it *supplies* a PRNG. Alternative PRNGs (or even RNGs) can be substituted for the JDK-supplied PRNG used by the default implementation. This could be made easier (currently you need to subclass or provide an alternative RandomDataImpl) and I will add this to the WishList.
Finally, I start doubting more and more the way most methods are implemented trough interfaces, which makes less and less sense to me the longer I deal with them.
This is really a Java issue. Takes some getting used to, but provides a lot of flexibility.
Thanks again for the feedback.
Phil
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