R help - Mar 2006 - computing the average response by nlme

Dear All,
   
  let E(Y | t, b, theta) be the conditional  expectation of Y where b is a
vector of random effects , theta is a vector of  fixed effects and t is the 
time of observation (t =1,2, ...,n).
   
  I wonder if nlme has a function to compue E(Y | t, theta). I know that it can
be done by approximating the integrals over b of   E(Y | t, b, theta). But I am
wondering if nlme has a function to do that directly.
   
  Thank you,
   
  Bernard
   
   
   

		
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Did you get an answer to this post?  I didn't see a direct answer, 
but I saw a related discussion around the time of your post.

	  In case you still would like help with this, I recommend you first 
consult Pinheiro and Bates (2000) Mixed-Effects Models in S and S-Plus 
(Springer) if you haven't already.  Also, I just got 93 hits from 
RSiteSearch("nlme predict").  Beyond that, the documentation for nlme 
says it returns an object of class "nlme".  This suggests you try 
method(class="nlme"), which identified the following functions with 
methods specifically for objects of class "nlme":

formula.nlme* getData.nlme* predict.nlme* update.nlme*
   Non-visible functions are asterisked

	  You can further get the code for "preduct.nlme" using 
getAnywhere("predict.nlme");  you can't get it directly, because
as the
message indicates, it's "non-visible".

	  hope this helps.
	  spencer graves
	
Marc Bernard wrote:
> Dear All,
>    
>   let E(Y | t, b, theta) be the conditional  expectation of Y where b is a
vector of random effects , theta is a vector of  fixed effects and t is the 
time of observation (t =1,2, ...,n).
>    
>   I wonder if nlme has a function to compue E(Y | t, theta). I know that it
can be done by approximating the integrals over b of   E(Y | t, b, theta). But I
am wondering if nlme has a function to do that directly.
>    
>   Thank you,
>    
>   Bernard
>    
>    
>    
> 
> 		
> ---------------------------------
> 
> 	[[alternative HTML version deleted]]
> 
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