R help - Jun 2010 - linear predicted values of the index function in an ordered probit model

Hello,

 

currently I am estimating an ordered probit model with the function polr
(MASS package).

Is there a simple way to obtain values for the prediction of the index
function ($X*\hat{\beta}$)?

 (E..g. in the GLM function there is  the linear.prediction value for this
purpose).

 

If not, is there another function / package where this feature is
implemented?

 

Thank you very much for your answer in advance!

 

Best,

 

Martin


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On Jun 28, 2010, at 10:58 AM, Martin Spindler wrote:
> Hello,
>
>
>
> currently I am estimating an ordered probit model with the function  
> polr
> (MASS package).
>
> Is there a simple way to obtain values for the prediction of the index
> function ($X*\hat{\beta}$)?
>
> (E..g. in the GLM function there is  the linear.prediction value for  
> this
> purpose).
Read the help page:

"There are methods for the standard model-fitting functions, including  
predict, ...."
>
>
>
> If not, is there another function / package where this feature is
> implemented?
Even though polr has predict, you can also get a proportional odds  
model in the rms package (and I would not be surprised if a search  
turned up more options.

-- 
David.
>
>
>
> Thank you very much for your answer in advance!
>
>
>
> Best,
>
>
>
> Martin
>
>
> 	[[alternative HTML version deleted]]
>
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