OK, I think I see the problem. Rather than setting method="nAGQ" I need nAGQ=1. Doing so throws the following error:
"Warning messages: 1: glm.fit: algorithm did not converge 2: In mer_finalize(ans) : gr cannot be computed at initial par (65) Error in diag(vcov(fitmodel)) : error in evaluating the argument 'x' in selecting a method for function 'diag': Error in asMethod(object) : matrix is not symmetric [1,2]" I need some help interpreting and debugging this. One thing that I suspect is that there is a column of zeroes in the design matrix, but I'm not sure. Any other possibilities here and how can I diagnose? ----- Original Message ----- From: Scott Raynaud <scott.rayn...@yahoo.com> To: "r-help@r-project.org" <r-help@r-project.org> Cc: Sent: Tuesday, November 15, 2011 2:11 PM Subject: Re: package installtion Never mind-I fixed it. My script is throwing the following error: "Error in glmer(formula = modelformula, data = data, family = binomial(link = logit), : Argument ‘method’ is deprecated. Use ‘nAGQ’ to choose AGQ. PQL is not available." I remember hearing somewhere that PQL is no longer available on lme4 but I have AGQ specified. Here's the line that fits my model: (fitmodel <- lmer(modelformula,data,family=binomial(link=logit),method="AGQ")) If I change it to nAGQ I still get an error. Any ideas as to what's going on? ----- Original Message ----- From: Scott Raynaud <scott.rayn...@yahoo.com> To: "r-help@r-project.org" <r-help@r-project.org> Cc: Sent: Tuesday, November 15, 2011 1:50 PM Subject: package installtion I'm getting the following error in a script: "Error: could not find function "lmer." I'm wondering of my lme4 package is installed incorrectly. Can someone tell me the installation procedure? I looked at the support docs but couldn't translate that into anything that would work. ______________________________________________ R-help@r-project.org mailing list 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.
