Hi folks, I am trying to generate 95% confidence intervals for a gls model using predict.nlme with R version 2.5.1 (2007-06-27) . nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1-83.
I have looked in help, and I can do it for lm and glm models, and I can generate simple predictions for lme models with various levels -- I am familiar with the basics. Is there a way to get prediction intervals for gls models? My "best" model uses varPower(), so I am reluctant to fall back on lm predictions. Thank you, Hank Dr. Hank Stevens, Associate Professor 338 Pearson Hall Botany Department Miami University Oxford, OH 45056 Office: (513) 529-4206 Lab: (513) 529-4262 FAX: (513) 529-4243 http://www.cas.muohio.edu/~stevenmh/ http://www.muohio.edu/ecology/ http://www.muohio.edu/botany/ "E Pluribus Unum" ______________________________________________ R-help@stat.math.ethz.ch 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.
