SEM versus mixed models, or, you can latent variable with mixed models, too! https://m-clark.github.io/docs/mixedModels/growth_vs_mixed.html
Michael Clark: 404
m-clark.github.io
November 25, 2024 at 2:52 AM
SEM versus mixed models, or, you can latent variable with mixed models, too! https://m-clark.github.io/docs/mixedModels/growth_vs_mixed.html
Hey #ecology folk - when you learned #mixedModels, were you taght about the assumption of endogeneity/random effects assumption - that your random effects (i.e., site groups) should not correlate with your predictor of interest? I was not! @LauraEllenDee and I are curious!
November 22, 2024 at 2:03 PM
Hey #ecology folk - when you learned #mixedModels, were you taght about the assumption of endogeneity/random effects assumption - that your random effects (i.e., site groups) should not correlate with your predictor of interest? I was not! @LauraEllenDee and I are curious!
Our work on Linear #MixedModels published in AMPPS! #R #lme4 #Scandola & @letstido.bsky.social #LeedsPsy #HullPsy #Univerona
journals.sagepub.com/doi/10.1177/...
We present a clear pipeline for handling #non-convergent and #singular models!
journals.sagepub.com/doi/10.1177/...
We present a clear pipeline for handling #non-convergent and #singular models!
Reliability and Feasibility of Linear Mixed Models in Fully Crossed Experimental Designs - Michele Scandola, Emmanuele Tidoni, 2024
The use of linear mixed models (LMMs) is increasing in psychology and neuroscience research In this article, we focus on the implementation of LMMs in fully cro...
journals.sagepub.com
February 11, 2024 at 10:56 AM
Our work on Linear #MixedModels published in AMPPS! #R #lme4 #Scandola & @letstido.bsky.social #LeedsPsy #HullPsy #Univerona
journals.sagepub.com/doi/10.1177/...
We present a clear pipeline for handling #non-convergent and #singular models!
journals.sagepub.com/doi/10.1177/...
We present a clear pipeline for handling #non-convergent and #singular models!
There are some new friends following. I often share useful resources for quantitative analyses. One of the resources I have been sharing the most to students these days is this faq on glmm by @bbolker.bsky.social
bbolker.github.io/mixedmodels-...
bbolker.github.io/mixedmodels-...
GLMM FAQ
bbolker.github.io
November 21, 2024 at 7:28 PM
There are some new friends following. I often share useful resources for quantitative analyses. One of the resources I have been sharing the most to students these days is this faq on glmm by @bbolker.bsky.social
bbolker.github.io/mixedmodels-...
bbolker.github.io/mixedmodels-...
GLMM for Ecologists course 2-6 Feb.
A practical introduction to building mixed models in R. Taught by Dr Andrew MacDonald, a statistician focused on connecting ecological theory with expressive statistical models
prstats.org/course/intro...
#GLMM #Ecology #RStats #MixedModels #DataAnalysis
A practical introduction to building mixed models in R. Taught by Dr Andrew MacDonald, a statistician focused on connecting ecological theory with expressive statistical models
prstats.org/course/intro...
#GLMM #Ecology #RStats #MixedModels #DataAnalysis
Introduction to Generalised Linear Mixed Models for Ecologists | PR Statistics
A five day online course introducing linear models, GLMs, and multilevel models for ecological data using R, lme4, and rstanarm. Learn regression, ANOVA, interactions, diagnostics, overdispersion, zer...
prstats.org
December 9, 2025 at 10:39 AM
GLMM for Ecologists course 2-6 Feb.
A practical introduction to building mixed models in R. Taught by Dr Andrew MacDonald, a statistician focused on connecting ecological theory with expressive statistical models
prstats.org/course/intro...
#GLMM #Ecology #RStats #MixedModels #DataAnalysis
A practical introduction to building mixed models in R. Taught by Dr Andrew MacDonald, a statistician focused on connecting ecological theory with expressive statistical models
prstats.org/course/intro...
#GLMM #Ecology #RStats #MixedModels #DataAnalysis
Learn how to apply linear and generalized linear mixed models using R
www.prstats.org/course/intro...
#RStats #MixedModels #StatisticalModelling #EcologicalModelling #LifeSciences#OnlineCourses #DataScienceTraining #Biostats #GeneralisedLinearModels #RStudio #StatisticalEcology #EcologyCourse
www.prstats.org/course/intro...
#RStats #MixedModels #StatisticalModelling #EcologicalModelling #LifeSciences#OnlineCourses #DataScienceTraining #Biostats #GeneralisedLinearModels #RStudio #StatisticalEcology #EcologyCourse
May 14, 2025 at 3:42 PM
Learn how to apply linear and generalized linear mixed models using R
www.prstats.org/course/intro...
#RStats #MixedModels #StatisticalModelling #EcologicalModelling #LifeSciences#OnlineCourses #DataScienceTraining #Biostats #GeneralisedLinearModels #RStudio #StatisticalEcology #EcologyCourse
www.prstats.org/course/intro...
#RStats #MixedModels #StatisticalModelling #EcologicalModelling #LifeSciences#OnlineCourses #DataScienceTraining #Biostats #GeneralisedLinearModels #RStudio #StatisticalEcology #EcologyCourse
Online Course: Intro to Mixed Models using R
27 May 2025 | Live via Zoom
Apply mixed models to account for grouping and non-independence in your data using R and lme4
10% off with code BSPRS10
#RStats #MixedModels #Biostatistics #EcologyTraining #QuantitativeEcology #HierarchicalModels #DataScience
27 May 2025 | Live via Zoom
Apply mixed models to account for grouping and non-independence in your data using R and lme4
10% off with code BSPRS10
#RStats #MixedModels #Biostatistics #EcologyTraining #QuantitativeEcology #HierarchicalModels #DataScience
Intro to Mixed Models in R | PR Statistics
This hands-on course introduces mixed models in R and RStudio for researchers in ecology, biology, and environmental sciences. Learn how to handle nested, repeated, and hierarchical data structures wi...
www.prstats.org
May 5, 2025 at 10:21 AM
Online Course: Intro to Mixed Models using R
27 May 2025 | Live via Zoom
Apply mixed models to account for grouping and non-independence in your data using R and lme4
10% off with code BSPRS10
#RStats #MixedModels #Biostatistics #EcologyTraining #QuantitativeEcology #HierarchicalModels #DataScience
27 May 2025 | Live via Zoom
Apply mixed models to account for grouping and non-independence in your data using R and lme4
10% off with code BSPRS10
#RStats #MixedModels #Biostatistics #EcologyTraining #QuantitativeEcology #HierarchicalModels #DataScience
For the interested, here's some more guidance from Ben Bolker: bbolker.github.io/mixedmodels-...
GLMM FAQ
bbolker.github.io
January 23, 2025 at 5:30 PM
For the interested, here's some more guidance from Ben Bolker: bbolker.github.io/mixedmodels-...
Check this out 👇👇
Visual explanation of mixed-effects modelling
#Rstats #mixedmodels #AcademicTwitter
mfviz.com/hierarchical-m…
Visual explanation of mixed-effects modelling
#Rstats #mixedmodels #AcademicTwitter
mfviz.com/hierarchical-m…
Visualizing Hierarchical Models
A visual explanation of mixed-effects modeling
mfviz.com
January 28, 2025 at 2:08 AM
Check this out 👇👇
Visual explanation of mixed-effects modelling
#Rstats #mixedmodels #AcademicTwitter
mfviz.com/hierarchical-m…
Visual explanation of mixed-effects modelling
#Rstats #mixedmodels #AcademicTwitter
mfviz.com/hierarchical-m…
Sharing to my future self Ben Bolker’s amazing syntax table for lme4 and brms models bbolker.github.io/mixedmodels-...
January 26, 2024 at 2:45 PM
Sharing to my future self Ben Bolker’s amazing syntax table for lme4 and brms models bbolker.github.io/mixedmodels-...
GM 💙🤍❤️
💃🏻 Orama x Thierno
#hands #wet #fineartnude #nudephotography #nudephoto #nudephotoshoot #nudeart #nudemodel #naked #sensualnude #amateurmodel #modelephoto #modele #nuartistique #nudeportrait #nude #artisticnude #nudeartmodel #fineartphotography #modeleamateur #frenchmodel #mixedmodels
💃🏻 Orama x Thierno
#hands #wet #fineartnude #nudephotography #nudephoto #nudephotoshoot #nudeart #nudemodel #naked #sensualnude #amateurmodel #modelephoto #modele #nuartistique #nudeportrait #nude #artisticnude #nudeartmodel #fineartphotography #modeleamateur #frenchmodel #mixedmodels
January 16, 2025 at 8:29 AM
If you want to see it in action, check out @nathanieldaw.bsky.social package for fitting cognitive models hierarchically using EM:
github.com/ndawlab/em
or the excellent mixed effects regression package:
juliastats.org/MixedModels....
github.com/ndawlab/em
or the excellent mixed effects regression package:
juliastats.org/MixedModels....
November 20, 2024 at 2:50 PM
If you want to see it in action, check out @nathanieldaw.bsky.social package for fitting cognitive models hierarchically using EM:
github.com/ndawlab/em
or the excellent mixed effects regression package:
juliastats.org/MixedModels....
github.com/ndawlab/em
or the excellent mixed effects regression package:
juliastats.org/MixedModels....
It's definitely less flexible, especially for GLMMs (see juliastats.org/MixedModels.... ), and the ecosystem for downstream diagnosis and inference (stuff like DHARMa/performance/emmeans/marginaleffects/etc.) is more limited, but it's very good at what it does, and very fast.
Limitations of MixedModels.jl · MixedModels
Documentation for MixedModels.
juliastats.org
July 2, 2026 at 2:24 AM
It's definitely less flexible, especially for GLMMs (see juliastats.org/MixedModels.... ), and the ecosystem for downstream diagnosis and inference (stuff like DHARMa/performance/emmeans/marginaleffects/etc.) is more limited, but it's very good at what it does, and very fast.
A quick plug for juliapackages.com/p/mixedmodels (by Doug Bates and phillipalday.com -- similar capabilities to lme4 but **much** faster
MixedModels.jl
A Julia package for fitting (statistical) mixed-effects models
juliapackages.com
March 4, 2026 at 11:32 PM
A quick plug for juliapackages.com/p/mixedmodels (by Doug Bates and phillipalday.com -- similar capabilities to lme4 but **much** faster
GLMM FAQ
bbolker.github.io
September 19, 2025 at 12:28 PM
(2/2) Doug Bates started to write a new book lme4.r-forge.r-project.org/book/ but got distracted by juliastats.org/MixedModels.... There's also bruno.nicenboim.me/bayescogsci/ (all Bayesian/Stan though ...)
Index of /book
lme4.r-forge.r-project.org
July 26, 2025 at 11:58 PM
(2/2) Doug Bates started to write a new book lme4.r-forge.r-project.org/book/ but got distracted by juliastats.org/MixedModels.... There's also bruno.nicenboim.me/bayescogsci/ (all Bayesian/Stan though ...)
Without knowing more details, it sounds like this is caused by singularity. tl;dr I would keep the term, *but* you'll get exactly the same answers as if you explicitly discarded it. stats.stackexchange.com/search?q=%22... bbolker.github.io/mixedmodels-... gist.github.com/bbolker/d809...
Posts matching '"singular fit" drop'
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
stats.stackexchange.com
May 17, 2025 at 7:13 PM
Without knowing more details, it sounds like this is caused by singularity. tl;dr I would keep the term, *but* you'll get exactly the same answers as if you explicitly discarded it. stats.stackexchange.com/search?q=%22... bbolker.github.io/mixedmodels-... gist.github.com/bbolker/d809...
Update your bookmarks, if necessary:
bbolker.github.io/mixedmodels-...
bbolker.github.io/mixedmodels-...
GLMM FAQ
bbolker.github.io
June 7, 2025 at 9:44 AM
Update your bookmarks, if necessary:
bbolker.github.io/mixedmodels-...
bbolker.github.io/mixedmodels-...
Was catching up with friend and talking about model selection and covariance structures (as you do). We ended up turning to @bbolker.bsky.social's fantastically useful FAQ document for mixed models here: bbolker.github.io/mixedmodels-.... If you use #Rstats and mixed models, that FAQ is your friend!
GLMM FAQ
bbolker.github.io
December 6, 2024 at 11:18 PM
Was catching up with friend and talking about model selection and covariance structures (as you do). We ended up turning to @bbolker.bsky.social's fantastically useful FAQ document for mixed models here: bbolker.github.io/mixedmodels-.... If you use #Rstats and mixed models, that FAQ is your friend!
AFAIK there were many false positives (cf. bbolker.github.io/mixedmodels-...)
Here are a few strategies to feel a bit more comforted that model fit is good enough...
cran.r-project.org/web/packages...
Here are a few strategies to feel a bit more comforted that model fit is good enough...
cran.r-project.org/web/packages...
Help for package lme4
cran.r-project.org
July 23, 2026 at 4:52 PM
AFAIK there were many false positives (cf. bbolker.github.io/mixedmodels-...)
Here are a few strategies to feel a bit more comforted that model fit is good enough...
cran.r-project.org/web/packages...
Here are a few strategies to feel a bit more comforted that model fit is good enough...
cran.r-project.org/web/packages...
Mixed-effects modellers, assemble!
Just dropped a (very niche) blog on the weird quirks that occur with uncorrelated random effects and the trifecta of packages: lme4, afex, and performance (in R).
Read here 👉 sites.google.com/view/jamieco...
#rstats #MixedModels #lme4 #afex #performanceR
Just dropped a (very niche) blog on the weird quirks that occur with uncorrelated random effects and the trifecta of packages: lme4, afex, and performance (in R).
Read here 👉 sites.google.com/view/jamieco...
#rstats #MixedModels #lme4 #afex #performanceR
captain america is holding a hammer and says avengers assemble
Alt: Captain America holding Mjölnir and says: “Avengers… Assemble!”
media.tenor.com
August 2, 2025 at 2:12 PM
Mixed-effects modellers, assemble!
Just dropped a (very niche) blog on the weird quirks that occur with uncorrelated random effects and the trifecta of packages: lme4, afex, and performance (in R).
Read here 👉 sites.google.com/view/jamieco...
#rstats #MixedModels #lme4 #afex #performanceR
Just dropped a (very niche) blog on the weird quirks that occur with uncorrelated random effects and the trifecta of packages: lme4, afex, and performance (in R).
Read here 👉 sites.google.com/view/jamieco...
#rstats #MixedModels #lme4 #afex #performanceR
finally had a little time to dig into this special issue on LLMs/MixedModels in a BF context:
link.springer.com/journal/4211...
The discussion on the marginality principle is quite interesting (seems like you can test main effects with interaction present after all - in ANOVA designs)
link.springer.com/journal/4211...
The discussion on the marginality principle is quite interesting (seems like you can test main effects with interaction present after all - in ANOVA designs)
Computational Brain & Behavior
Computational Brain & Behavior welcomes research on the computational basis of the mind.
An official journal of the Society for Mathematical ...
link.springer.com
September 15, 2025 at 9:10 AM
finally had a little time to dig into this special issue on LLMs/MixedModels in a BF context:
link.springer.com/journal/4211...
The discussion on the marginality principle is quite interesting (seems like you can test main effects with interaction present after all - in ANOVA designs)
link.springer.com/journal/4211...
The discussion on the marginality principle is quite interesting (seems like you can test main effects with interaction present after all - in ANOVA designs)
