A three-level GLMM with binomial link in R
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On Fri, 5 Mar 2021, 21:18 Hedyeh Ahmadi, <hedyehah at usc.edu> wrote:
Hi - Thank you for the informative replies. I will try those other packages. If MASS::glmmPQL uses lme() then this should work for me. My data structure is complex so it's hard to give reproducible example but for example for two of my models I get the following errors in lmer() while lme() runs smoothly. 1- Error: cannot allocate vector of size 2.3 Gb. 2- Error: couldn't evaluate grouping factor id:(family:site) within model frame: try adding grouping factor to data frame explicitly if possible. (note that the id variable works for simpler lmer() models so the variable itself is not an issue) My model looks like the following nested structure: lmer(Y ~ 1 + X1 + X2 + X3 + (1|site/family/id), data=dd, REML = FALSE) Best, Hedyeh Ahmadi, Ph.D. Statistician Keck School of Medicine Department of Preventive Medicine University of Southern California Postdoctoral Scholar Institute for Interdisciplinary Salivary Bioscience Research (IISBR) University of California, Irvine LinkedIn www.linkedin.com/in/hedyeh-ahmadi<http://www.linkedin.com/in/hedyeh-ahmadi
________________________________ From: Dexter Locke <dexter.locke at gmail.com> Sent: Friday, March 5, 2021 1:01 PM To: Hedyeh Ahmadi <hedyehah at usc.edu> Cc: r-sig-mixed-models at r-project.org <r-sig-mixed-models at r-project.org>; Megan M. Herting <herting at usc.edu>; Elisabeth Burnor <burnor at usc.edu> Subject: Re: [R-sig-ME] A three-level GLMM with binomial link in R Hi Hedyeh, What is the problem you are having? Specifically, what is the estimation issue with lmer and lme? Can you provide a reproducible example? Can you provide the complete errors you are seeing? The current questions are vague, so it will be challenging for list members to provide much guidance. -Dexter On Fri, Mar 5, 2021 at 3:27 PM Hedyeh Ahmadi <hedyehah at usc.edu<mailto: hedyehah at usc.edu>> wrote: Hi All, I was wondering what would be a powerful package in R to run GLMM with logit link that can handle a data set with N=22945 and 3 nested random intercepts. So far, I have tried glmer() from lme4 and it's giving me a lot of estimation issues. Any other package I should try? I am asking for another package as I am having the same issue with lmer() for similar LMM with continuous outcome, while lme() from nlme package runs the models with no problem. Thank you in advance. Best, Hedyeh Ahmadi, Ph.D. Statistician Keck School of Medicine Department of Preventive Medicine University of Southern California Postdoctoral Scholar Institute for Interdisciplinary Salivary Bioscience Research (IISBR) University of California, Irvine LinkedIn www.linkedin.com/in/hedyeh-ahmadi< https://urldefense.com/v3/__http://www.linkedin.com/in/hedyeh-ahmadi__;!!LIr3w8kk_Xxm!8UfGozITdR3cNo929aSVEsbVNgbIul9f91q4hA3PAf0ywits0jIKVDAQdYkAXFg$ <http://www.linkedin.com/in/hedyeh-ahmadi< https://urldefense.com/v3/__http://www.linkedin.com/in/hedyeh-ahmadi__;!!LIr3w8kk_Xxm!8UfGozITdR3cNo929aSVEsbVNgbIul9f91q4hA3PAf0ywits0jIKVDAQdYkAXFg$ <http://www.linkedin.com/in/hedyeh-ahmadi< https://urldefense.com/v3/__http://www.linkedin.com/in/hedyeh-ahmadi__;!!LIr3w8kk_Xxm!8UfGozITdR3cNo929aSVEsbVNgbIul9f91q4hA3PAf0ywits0jIKVDAQdYkAXFg$ <http://www.linkedin.com/in/hedyeh-ahmadi< https://urldefense.com/v3/__http://www.linkedin.com/in/hedyeh-ahmadi__;!!LIr3w8kk_Xxm!8UfGozITdR3cNo929aSVEsbVNgbIul9f91q4hA3PAf0ywits0jIKVDAQdYkAXFg$ [[alternative HTML version deleted]] _______________________________________________ R-sig-mixed-models at r-project.org<mailto:R-sig-mixed-models at r-project.org> mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models< https://urldefense.com/v3/__https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models__;!!LIr3w8kk_Xxm!8UfGozITdR3cNo929aSVEsbVNgbIul9f91q4hA3PAf0ywits0jIKVDAQM6wKtNs$ [[alternative HTML version deleted]] _______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models