For quadratic penalization (generalization of ridge regression) the lrm
function in the rms package supports this. See also the rms pentrace
function.
Frank
djmuseR wrote:
>
> Hi:
>
> glmnet is a good place to start.
>
> HTH,
> Dennis
>
> On Tue, Jun 21, 2011 at 12:01 AM, Markku Karhunen
> <
Hi:
glmnet is a good place to start.
HTH,
Dennis
On Tue, Jun 21, 2011 at 12:01 AM, Markku Karhunen
wrote:
>
> Hi Community,
>
> I would like to do regularized logistic regression, e.g. lasso, plasso or
> ridge regression. Can you recommend any packages? Low memory requirement /
> computational
Hi Community,
I would like to do regularized logistic regression, e.g. lasso, plasso
or ridge regression. Can you recommend any packages? Low memory
requirement / computational cheapness would be a plus.
Markku Karhunen
Uni. Helsinki
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