------------------------------ Message: 3 Date: Fri, 4 Jul 2014 09:44:02 +0200 From: "Richman, Ronald" <Ronald.Richman at aig.com> To: "R-sig-mixed-models at r-project.org" <R-sig-mixed-models at r-project.org> Subject: [R-sig-ME] Using glmm for penalised spline model Message-ID: <466C6A0445D25841BAC0B80BEE58807A1A5717FDCE at JOHP3MMFS01.mail.aig.net> Content-Type: text/plain Hi All, This is my first post to the mailing list, and may I thank you all for the interesting and varied correspondence which you post. I have come across a reference for using mixed models to fit penalised spline models in Currie<http://www.macs.hw.ac.uk/~iain/research/Currie.SM.pdf>(2013). He writes that -: "An alternative approach is to express the PGLM as a generalized linear mixed model (GLMM) and this also leads to an estimate of the smoothing parameter."
Ron, Sorry for self-citing..but see: http://www.highstat.com/BGGAMM.htm for examples how to write a smoother as a mixed model and use nlme/lmer/JAGS to estimate the smoother. Kind regards, Alain
I have searched for a reference on how to accomplish this, but to little avail. Does anyone have any experience in this? Kind regards, Ron [[alternative HTML version deleted]]
Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highstat at highstat.com URL: www.highstat.com