Irene Mantzouni <ima <at> difres.dk> writes: > I am trying to run a regression where the predictor values are not real > data but each is estimated from a different model. So, for each value I > have a mean and variance. > > Which package/function should I use in this case?
See the Dobson example in the lm documentation. Assuming your x-values are known accurately enough, you could use your y-variances as weights; this could be a good approximation to what you want. If that's not enough, check one of the packages with "meta" in it. You may get better responses when you provide a self-running example as the posting guide says. Dieter ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
