------------------------------ Message: 6 Date: Sat, 22 Feb 2014 15:51:55 +0000 From: "Austin, Peter" <peter.austin at ices.on.ca> To: "r-sig-mixed-models at r-project.org" <r-sig-mixed-models at r-project.org> Cc: "Austin, Peter" <peter.austin at ices.on.ca> Subject: [R-sig-ME] glmer function in lme4 - false convergence warning message Message-ID: <9ED811556BF51A4C8E7FD77C5133339B45483532 at ICESMBX2.ices.on.ca> Content-Type: text/plain; charset="iso-8859-1" I am writing with a question about a warning message that I received when I used the glmer function to fit a complementary log-log binary regression model that incorporated two different sets of random effects. When running the model, I received the following warning message: Warning message: In mer_finalize(ans) : false convergence (8). However, output was produced, including regression coefficients, their associated standard errors, z values, and p-values. From the output, everything looked normal. How should I interpret the warning message, and what actions, if any, should I take? Thanks very much, Peter ---- Standardize your continous covariates...most of the times that helps. Alain Zuur
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. Begginner'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