[,1]
1 4.018394e-05
2 9.999780e-01
3 9.999843e-01
4 2.702566e-05
5 9.999694e-01
6 9.999826e-01
On Fri, Nov 20, 2015 at 4:57 AM, peter dalgaard wrote:
>
> On 20 Nov 2015, at 10:07 , peter dalgaard wrote:
>
> >>
> >> On 20 Nov 2015, at 04:53 , Damir Cosic
Right on! I was using the expression for binomial logit. Thank you so much!
On Fri, Nov 20, 2015 at 12:23 PM, peter dalgaard wrote:
>
> > On 20 Nov 2015, at 17:17 , Damir Cosic wrote:
> >
> >
> > To do the same with matrix multiplication, I use the expression
>
Hello,
I am having problems with predict() after a multinomial logit regression by
multinom(). I generate a design matrix with model.matrix() and use it to
estimate the model. Then, if I pass the entire design matrix to predict(),
it returns the same output as fitted(), which is expected. But if I
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