R help - Nov 2008 - ordinal logistic model with pre-defined coefficients

Hi,

I'm trying to fit a proportional ordinal logistic model using function 
polr() (package MASS).

Is there a way to fix certain betas in the regression (e.g. function 
arima() allows this by defining fixed )
Maybe there is another function than polr() which allows that?



Thanks
Kazys
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On Fri, 7 Nov 2008, kazys.o.simutis at aib.ie wrote:
> Hi,
>
> I'm trying to fit a proportional ordinal logistic model using function
> polr() (package MASS).
>
> Is there a way to fix certain betas in the regression (e.g. function
> arima() allows this by defining fixed )
> Maybe there is another function than polr() which allows that?
See ?offset, the standard tool in regression-like fitting in R (and 
described in the book MASS supports).
> Thanks
> Kazys
-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
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