Hi Mark, Since no one replied to my question, I assume that the answer given by Simon Wood in 2011 is still current. http://r.789695.n4.nabble.com/mgcv-gamm-predict-to-reflect-random-s-effects-td3622738.html As Wood suggests at the link (scroll down), my lab group is using gam() with a spline for the random effect like s(Subject,bs="re") Cheers, Mollie ------------------------ Mollie Brooks, PhD Postdoctoral Researcher, Population Ecology Research Group Institute of Evolutionary Biology & Environmental Studies, University of Z?rich http://www.popecol.org/team/mollie-brooks/
gamm4: predict to reflect random effects?
2 messages · Mollie Brooks, Mark Miller
2 days later
Hi Mollie, Thanks for the reply, yep I guess for now using gam is the best option of simple random effects. I am trying to fit a more complex model with nested random effects and want both slope and intercept to vary - I'll try using splines within a GLMM and seeing how that works out! Cheers, Mark
On Fri, Oct 10, 2014 at 9:30 PM, Mollie Brooks <mbrooks at ufl.edu> wrote:
Hi Mark, Since no one replied to my question, I assume that the answer given by Simon Wood in 2011 is still current. http://r.789695.n4.nabble.com/mgcv-gamm-predict-to-reflect-random-s-effects-td3622738.html As Wood suggests at the link (scroll down), my lab group is using gam() with a spline for the random effect like s(Subject,bs="re") Cheers, Mollie ------------------------ Mollie Brooks, PhD Postdoctoral Researcher, Population Ecology Research Group Institute of Evolutionary Biology & Environmental Studies, University of Z?rich http://www.popecol.org/team/mollie-brooks/