Hi, I would like to specify a spherical correlation structure for spatially autocorrelated residuals in a model based upon the logistic function of a response that is a proportion (0 to 1) (so usual binary logistic regression is not an option). There is no need for a g-side random effect with grouping in this model. Am I correct that nlme requires this (meaning a correlated error structure only is not permissible)? I have tried to replicate the 'abuse' of the lme function I've seen for similar problems (specifying that all observations belong to one group), but this does not seem to work for nlme. Any legitimate work arounds?
Thanks, Seth -- View this message in context: http://n4.nabble.com/nlme-w-no-groups-and-spatially-correlated-residuals-tp1477982p1477982.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
