[R] lme and confidence intervals

[Gregory Warnes]

FWIW, the ci() function in the gmodels package supports generating  
confidence intervals for the fixed effects of lme objects.

-G


On Apr 8, 2008, at 1:34PM , Dieter Menne wrote:
> Cristian Carranza <cristiancarranza_1 <at> hotmail.com> writes:
>> After fitting a mixed effects model to repeated measurements data  
>> set, and
> after several unsuccessful
>> atempts to make a simple plot of the confidence interval for the  
>> fitted model,
> I gave up and now I am asking
>> for help in this useful list.
>>
>> Could anyone be so kind to give me some code lines in order to  
>> make a plot of
> the fitted equation and the
>> correspondent confidence interval?
>
> The fitted equation is simple: use predict in its variations. For the
> "confidence interval", most people on the list will ask back what  
> it means. But
> I know my colleagues, they or their reviewers insist on having  
> error bar in the
> graphics, and don't care about the interpretation.
>
> Dimitri has given an approach that could be used to produce some
> reviewer-satisfaction plots limited borborygmy.
>
> http://finzi.psych.upenn.edu/R/Rhelp02a/archive/118174.html
>
> Note that his method is meant to estimate well-defined confidence  
> intervals for
> the coefficients, but you can use the profiled fits and compute the  
> "confidence
> intervals" at the data points. Alternatively, you could use mcmc to  
> get a range
> of curves for averaging.
>
> Dieter
>
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