Top Tweets for #GLMMs
🚨 New paper out!
"Reporting of Generalized Linear Mixed Models (GLMM) in Sports Sciences: A Scoping Review” just published in Journal of Sports Analytics 🔗https://t.co/dEWdHqk3qQ
Are #GLMMs being applied and #reported correctly in #SportsScience? 🤔 #metaresearch
Jiangshan Lai et al. disscussed the extended functions of glmm.hp package, an R package designed to evaluate the relative importance of collinear predictors within #GeneralizedLinearMixedModels ( #GLMMs ).
https://t.co/oTREWK3mQX

📢 Interested in #GLMMs in #Rstats? Enhance your expertise in complex data analysis by joining us for this course with @florianhartig and @_Max_Pichler. course is tailored for those seeking to leverage the full potential of mixed models: https://t.co/vV3VQMRmbL

Join us in September for this week long intensive mixed-effects models in R course with @florianhartig and @_Max_Pichler
🔗https://t.co/bSdxFsqUZ5
#rstats #DataScience #GLMMs #DHARMa #MixEffectsModels

Useful papers on GLMMs 🤩🥳
@bolkerb https://t.co/HX41N05rwK
@BobOHara https://t.co/c8fVvxG7ru
@mattjsilk https://t.co/Lq3xAf5rMh
@XavHarrison https://t.co/Nx2w81N34F
@LisaDeBruine @dalejbarr https://t.co/QOrQorDD89
See also GLMM FAQ by @bolkerb & others https://t.co/s9AmINlleU

Join us in September to learn how to specify, interpret and validate linear and generalized linear mixed models in R!
Instructors: @florianhartig & @_Max_Pichler
🔗https://t.co/3qgGNXQ58f
#rstats #DataScience #GLMMs #DHARMa #modelling

Time to get ready for the 2nd semester, where among other things I will teach a module on #GLMMs and #longitudinal data 🤓

Improve your priors: a workflow using simulation and visualization to select informative priors for your ecological #BayesianAnalysis
https://t.co/0UHrTDXxAD
#DataAnalysis #Stats #GLMMs #OpenAccess #NSFFunded
@wesnerlab @NotAPomegranite @NSF

I am about to open R Studio for the first time in over 4 weeks. I was really on a roll with my coding/analysis before surgery, I hope it's like riding a bike! 🤣 #phdstudent #learningr #rstudio #GLMMs
Starting the #MethodsTheory stream now Helen Ogden @S3RISeminar addresses robustness of inference for #GLMMs under model misspecification #RSS2019Conf

A great day refreshing our R stats knowledge with @PiedflyWales and @Ecoexplore. Thankfully we had a lot of biscuits!

All your #stats in #ecology and #evolution needs finally in one paper. Adopt best practice to #biological #data. Out NOW in PeerJ! https://t.co/U8pVuD6v71 #GLMMs #statistics #rstats #modelselection

I cannot agree more with this: a must read for all who analyse complex #ecological #data, especially if you are skeptical with the use of mixed-effects or hierarchical models #GLMMs https://t.co/jhtA5MBGRg
Should you use random effects? Nearly always, yes. https://t.co/RsXm4fSd5e
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