![]() (Technically, this feature has been available since SAS/IML 9.22, which shipped November, 2010.) In the fall, I intend to blog about the new SAS/IML features, but if you can't wait, you can browse the What's New in SAS/IML 9.3 document. As a statistical programmer, I am stoked about the new features in SAS/IML 9.3, such as the ability to call SAS procedures from within a SAS/IML program.I've written a copula algorithm in SAS/IML, so I am looking forward to writing a "couple 'a" blog posts on comparing the two approaches. ![]() The COPULA procedure enables you to simulate data from a multivariate distribution that has a given covariance structure. ![]() As someone who runs a lot of simulations, I am eager to try the COPULA procedure in SAS/ETS software.You can also use it to model univariate data as a mixture of, say, three normal distributions. This regression procedure in SAS/STAT software should be useful when the response variable is a finite mixture of univariate distributions. As a statistician, I am keen to try the new FMM procedure, which fits finite mixture models.Now I'll put on my statistical hat and mention a few 9.3 features that excite me, personally, as a data analyst and a statistical programmer: Welcome, SAS 9.3! I've already blogged about some interface and graphical changes that everyone should know about.
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