I am now trying to use random effects in GAMs developed by Professor Simon Wood. Prof Wood uses s(...,bs="re") to account for the random effects. Random intercepts models or random slopes models are two different types of mixed linear models or general random effects model (Cameron and Trivedi, 2005). I wonder if the Wood's method includes both random intercepts and random slopes. Based on my understanding, this method does? Anyone can help me clarify this method? The following is the link of Random effects in GAM developed by Prof Wood.
https://stat.ethz.ch/R-manual/R-devel/library/mgcv/html/random.effects.html -- View this message in context: http://r.789695.n4.nabble.com/Random-effects-in-GAMs-tp4717371.html Sent from the datatable-help mailing list archive at Nabble.com. _______________________________________________ datatable-help mailing list [email protected] https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help
