Hello, 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) Thank you, -david ______________________________________________ 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.
