[R] ordinal logistic model with pre-defined coefficients

[kazys . o . simutis]

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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Re: [R] ordinal logistic model with pre-defined coefficients

[Prof Brian Ripley]

On Fri, 7 Nov 2008, [EMAIL PROTECTED] 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,  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595

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