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Sat, 7 Jun 2008 09:49:27 +0100
I read this code last night, and the existing implementation is
straightforward, but doesn't handle some of the more complicated
sigma restricted encoding (this seems tough - might be worth leaving
as a later enhancement)
- which lead to:
[partial] factorial designs
mixture surface models (i think they're called - regression with
I'm not sure what the ideal spec for a routine building a design
matrix is. The existing code does everything you need at a basic
level, provided you have all your independent variables, but it
doesn't introduce terms to handle interactions. Something on top
perhaps needs to take a model spec like A(B) C C*D or whatever and
turn that into a set of independent variables for the design matrix
routine to handle.
I haven't really thought this through yet, but I am hoping to work on it.
2008/6/7 John Darrington <address@hidden>:
> On Thu, Jun 05, 2008 at 05:05:38PM -0400, Jason Stover wrote:
> The big
> problem there is the "accounting" problem of mapping values of a
> variable back and forth to vectors with binary entries.
> I don't understand why this is a "big" problem, but perhaps I'm being
> naive. Would it be possible to have a brief specification for the
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