David Epstein <davideps <at> umich.edu> writes: [snip]
> I am using lmer (LME4) to build a model from data for 19 different > neighborhoods drawn, in part, from the American Communities Survey > (ACS). The ACS data is static while other variables change over the > five years under investigation. I am new to mixed effects models and > was hoping that someone could suggest a way to include the ACS > standard error for each covariate into the model. I currently call > lmer as follows: > > #Y = dependent variable (numeric, vector) > #G = neighborhood names (string, vector) > #X = independent variables (numeric, matrix) > > m = lmer(Y ~ (1|G) + X) > [snip] I suggest (1) taking a look at the weights= argument to see if it does what you need and (2) asking this question on the r-sig-mixed-models list, where there may be more expertise on this subject. Ben Bolker ______________________________________________ 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.
