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 -- Life is nothing but a dream, and if we are artists, then we can create our life with Love, and our dream becomes a masterpiece of art. [[alternative HTML version deleted]] ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see 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.
