Hi Thomas,
Using box-constrained optimizer in glm.fit is a good suggestion for finding the
point estimates. However, there is still the issue of making inference, i.e.,
computing the variances and p-values for the estimates. You have to deal with
the issue of MLE possibly being on the boundar
> Dear R users,
> I am currently attempting to fit logistic regression models in R, where
> the slopes should be restricted to positive values. Although I am aware
>> I guess non-negative, as in the subject line, so there actually is a
solution.
Indeed, I meant non-negative, zero slopes are also p
On 21/12/2011 18:26, t...@netstorm.be wrote:
Dear R users,
I am currently attempting to fit logistic regression models in R, where
the slopes should be restricted to positive values. Although I am aware
I guess non-negative, as in the subject line, so there actually is a
solution.
of the p
Dear R users,
I am currently attempting to fit logistic regression models in R, where
the slopes should be restricted to positive values. Although I am aware
of the package nnls (which does the trick for linear regression models),
I did not find any solution for logistic regression. If there is an
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