lme and confidence intervals

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