How does one estimate beta parameters and appropriate SEs when the dependent variable consists of estimated values with known variances? My case involves modeling factors affecting animal home ranges that were estimated separately (i.e., individual home ranges are the dependent variable, each of which has its own variance, and are modeled against factors such as sex/age). I found the paper by Lewis and Linzer (2005. Estimating regression models in which the dependent variable is based on estimates. Political Analysis 13:345-364), which describes feasible generalized least squares, but I have been unable to find R code for this or a description of how to apply it in gl(m)m.
Thanks for any help, Roy Averill-Murray [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology