bject: Re: [R] constraining betas with mlogit package
Hi Rolf:
Maybe. But I'm not sure whether the OP wants two levels of a single
variable to have the same coefficient, or two different categorical
variables in some way, or two different numeric variables, or...
Maybe it's obvious, b
On 16/08/11 10:58, Bert Gunter wrote:
Well, of course that doesn't work for categorical covariates (duhhh!)
-- so I'll just stop at my first clause, "I don't know." Sorry.
I would suggest that a better specification of the model and the
constraints may elicit better and faster responses.
I thi
Hi Rolf:
Maybe. But I'm not sure whether the OP wants two levels of a single
variable to have the same coefficient, or two different categorical
variables in some way, or two different numeric variables, or...
Maybe it's obvious, but I thought it fairer to the OP to make clear
that I was not a re
Well, of course that doesn't work for categorical covariates (duhhh!)
-- so I'll just stop at my first clause, "I don't know." Sorry.
I would suggest that a better specification of the model and the
constraints may elicit better and faster responses.
-- Bert
On Mon, Aug 15, 2011 at 3:53 PM, Ber
I don't know the answer in general, but for the specific constraint of
two coefficients being the same, I would assume that you should create
a new covariate which is the sum of the two individual ones and fit
this single combined covariate instead of the two separate ones.
Cheers,
Bert
On Mon, A
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