[R-sig-ME] predict with newdata -- New version of MCMCglmm

[Jarrod Hadfield]

Hi Dave,

I did intend to make it part of the current version. The difficulty is  
that if the fixed predictors in newdata have less levels than those in  
data, then things like the intercept will have a different  
interpretation. If data and newdata could be guaranteed to have the  
same levels for fixed terms (and terms within a variance.function)  
then it would be more straightforward. I guess I could return an error  
if this was not the case, and allow predictions on newdata when these  
conditions were satisfied....

Cheers,

Jarrod


Quoting David Atkins <datkins at u.washington.edu> on Thu, 08 Nov 2012  
16:18:36 -0800:

>
> [Posting to list as others might be interested...]
>
> Jarrod--
>
> Very cool to see the continued development of MCMCglmm.
>
> My typical use of predict() functions (across various R  
> regression-based commands) involves generating predictions on  
> newdata -- typically to help interpret models involving non-linear  
> terms and/or interactions. As far as I can tell, the predict  
> function in v2.17 of MCMCglmm does not yet incorporate new data.
>
> Any guess on when the newdata argument in predict.MCMCglmm might  
> "come online"?
>
> cheers, Dave
>
> -- 
> Dave Atkins, PhD
>
> Department of Psychiatry and Behavioral Science
> University of Washington
> datkins at u.washington.edu
> 206-616-3879
> http://depts.washington.edu/cshrb/
>
> "We are drowning in information and starving for knowledge."
> Rutherford Roger
>
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>
>



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