On Thu, Aug 4, 2011 at 9:35 PM, Marc Schwartz 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 tentative models an
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 model
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 wrote:
>
> Sounds like you want a best subsets regression, the bestglm() function,
> found in the bestglm() packa
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 wrote:
> Dear All,
>
> Suppose that you are trying to create a binary logistic model by
> trying different combinations of predicto
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
5 matches
Mail list logo