Marc A. Leith wrote:
>Quoting Mike Mascari <mascarm@mascari.com>:
>
>
>>Would Joe Conway's PL/R procedural language be any help here? I'd guess
>>there's an R package to fit the bill, but then again I'm only on page 30
>>of Modern Applied Statistics in S-Plus. ;-)
>>
>>For a turnkey modeling solution, you need more than simple stat functions. These
>>solutions automatically transform or 'bucketize' the data and then analyze the
>>covariance between the score variables and the known result.
>>
>>
I'm obviously not in any position to define what is needed here. I only
had business statistics in college as a requirement for an economics
degree many years ago. However, I will say that you may be
underestimating R's capabilities. It includes linear and non-linear
regression models, neural networks, time-series analysis, and a host
(and I mean 100's) of other models I have yet to fathom. I'd humbly
speculate that the core developers, include the chairman of the
statistics department at Oxford, would take issue with its
characterization as "simple stat functions". But what do I know... :-)
Mike Mascari
