Curving Normality » lmer http://www.rensenieuwenhuis.nl "The extra-ordinary lies within the curve of normality" Tue, 31 Jan 2012 17:30:56 +0000 en hourly 1 http://wordpress.org/?v=3.3.1 Influence.ME: don’t specify the intercept http://www.rensenieuwenhuis.nl/influence-me-dont-specify-the-intercept/ http://www.rensenieuwenhuis.nl/influence-me-dont-specify-the-intercept/#comments Thu, 18 Jun 2009 11:00:00 +0000 Rense Nieuwenhuis http://www.rensenieuwenhuis.nl/?p=1003 http://www.rensenieuwenhuis.nl/influence-me-dont-specify-the-intercept/feed/ 0 Introducing Influence.ME: Tools for detecting influential data in mixed models http://www.rensenieuwenhuis.nl/introducing-influenceme/ http://www.rensenieuwenhuis.nl/introducing-influenceme/#comments Wed, 29 Apr 2009 09:03:25 +0000 Rense Nieuwenhuis http://www.rensenieuwenhuis.nl/?p=914 http://www.rensenieuwenhuis.nl/introducing-influenceme/feed/ 0 useR! 2009 acceptance: presenting influence.ME http://www.rensenieuwenhuis.nl/user-2009-acceptance-presenting-influenceme/ http://www.rensenieuwenhuis.nl/user-2009-acceptance-presenting-influenceme/#comments Thu, 23 Apr 2009 10:23:56 +0000 Rense Nieuwenhuis http://www.rensenieuwenhuis.nl/?p=935 http://www.rensenieuwenhuis.nl/user-2009-acceptance-presenting-influenceme/feed/ 0 R-Sessions 31: Combining lmer output in a single table (UPDATED) http://www.rensenieuwenhuis.nl/r-sessions-31-combining-lmer-output-in-a-single-table/ http://www.rensenieuwenhuis.nl/r-sessions-31-combining-lmer-output-in-a-single-table/#comments Thu, 05 Feb 2009 11:00:38 +0000 Rense Nieuwenhuis http://www.rensenieuwenhuis.nl/?p=891 http://www.rensenieuwenhuis.nl/r-sessions-31-combining-lmer-output-in-a-single-table/feed/ 2 R-Sessions 16: Multilevel Model Specification (lme4) http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/ http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/#comments Wed, 27 Aug 2008 10:00:47 +0000 Rense Nieuwenhuis http://www.rensenieuwenhuis.nl/?p=543 Multilevel models, or mixed effects models, can easily be estimated in R. Several packages are available. Here, the lmer() function from the lme4-package is described. The specification of several types of models will be shown, using a fictive example. A detailed description of the specification rules is given. Output of the specified models is given, but not described or interpreted. Please note that this description is very closely related to the description of the specification of the lme() function of the nlme-package. The results are similar and here exactly the same possibilities are offered.]]> http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/feed/ 4