Dear All,
Suppose that you are trying to create a binary logistic model by
trying different combinations of predictors. Has R got an automatic
way of doing this, i.e., is there some way of automatically generating
different tentative models and checking their corresponding AIC value?
If so, could
Sounds like you want a best subsets regression, the bestglm() function,
found in the bestglm() package will do the trick.
Jeremy
On 4 August 2011 12:23, Paul Smith phh...@gmail.com wrote:
Dear All,
Suppose that you are trying to create a binary logistic model by
trying different
Wonderful! Thanks, Jeremy.
Is bestglm() also able of trying nonlinear transformations of the
variables, say log(X1) for instance?
Paul
On Thu, Aug 4, 2011 at 8:28 PM, Jeremy Miles jeremy.mi...@gmail.com wrote:
Sounds like you want a best subsets regression, the bestglm() function,
found in
On Aug 4, 2011, at 2:23 PM, Paul Smith wrote:
Dear All,
Suppose that you are trying to create a binary logistic model by
trying different combinations of predictors. Has R got an automatic
way of doing this, i.e., is there some way of automatically generating
different tentative models and
On Thu, Aug 4, 2011 at 9:35 PM, Marc Schwartz marc_schwa...@me.com wrote:
Suppose that you are trying to create a binary logistic model by
trying different combinations of predictors. Has R got an automatic
way of doing this, i.e., is there some way of automatically generating
different
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