[R] a statistics question

[Peter Ehlers]

It sounds as though 'logic regression' might help. See

Ruczinski I, Kooperberg C, LeBlanc ML (2003). Logic Regression,
Journal of Computational and Graphical Statistics, 12, 475-511.

and the LogicReg package.

Peter Ehlers

Weiwei Shi wrote:

> Hi there,
> I have a statistics question on a classification problem:
> 
> Suppose I have 1000 binary variables and one binary dependent variable. I
> want to find a way similar to PCA, in which I can find a couple of
> combinations of those variables to discriminate best according to the
> dependent variable. It is not only for dimension reduction, but more
> important, for finding best way to construct features. This is NOT CDA since
> the explanatory variables are NOT continuous. I knew the existence of that
> method since I consulted before with a professor but I forgot the name of
> the method.. sigh...
> 
> I am also wondering if R has already some function or package addressing
> this kind of problem.
> 
> Thanks
> 
> --
> Weiwei Shi, Ph.D
> 
> "Did you always know?"
> "No, I did not. But I believed..."
> ---Matrix III
> 
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> 
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