Projects in Awesome Lists tagged with mixed-models
A curated list of projects in awesome lists tagged with mixed-models .
https://easystats.github.io/performance/
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
aic easystats hacktoberfest loo machine-learning mixed-models models performance r r2 statistics
Last synced: 25 Nov 2025
https://github.com/easystats/performance
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
aic easystats hacktoberfest loo machine-learning mixed-models models performance r r2 statistics
Last synced: 29 Apr 2025
https://github.com/JuliaStats/MixedModels.jl
A Julia package for fitting (statistical) mixed-effects models
julia mixed-effects mixed-models statistical-models statistics
Last synced: 11 Jul 2025
https://github.com/m-clark/miscellaneous-r-code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip
Last synced: 13 Apr 2025
https://github.com/m-clark/Miscellaneous-R-Code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip
Last synced: 14 Mar 2025
https://github.com/strengejacke/sjstats
Effect size measures and significance tests
effectsize mixed-models r regression-models significance-testing statistical-measures
Last synced: 15 May 2025
https://github.com/neuropsychology/psycho.r
An R package for experimental psychologists
apa apa6 bayesian correlation format interpretation mixed-models neuroscience psycho psychology r rstanarm statistics
Last synced: 05 Apr 2025
https://github.com/neuropsychology/psycho.R
An R package for experimental psychologists
apa apa6 bayesian correlation format interpretation mixed-models neuroscience psycho psychology r rstanarm statistics
Last synced: 13 Jul 2025
https://github.com/m-clark/mixed-models-with-r
Covers the basics of mixed models, mostly using @lme4
brms covariance crossed-random-effects generalized-linear-mixed-models glmmtmb hierarchical-linear-models linear-mixed-models lme4 mixed-models multilevel-models nested-random-effects nlme r random-effects random-intercepts random-slopes variance-components
Last synced: 30 Apr 2025
https://github.com/m-clark/mixed-models-with-R
Covers the basics of mixed models, mostly using @lme4
brms covariance crossed-random-effects generalized-linear-mixed-models glmmtmb hierarchical-linear-models linear-mixed-models lme4 mixed-models multilevel-models nested-random-effects nlme r random-effects random-intercepts random-slopes variance-components
Last synced: 13 Jul 2025
https://github.com/m-clark/mixedup
An R package for extracting results from mixed models that are easy to use and viable for presentation.
brms glmmtmb lme4 mgcv mixed-models nlme random-coefficients random-effects variance-components
Last synced: 30 Apr 2025
https://github.com/unfoldtoolbox/unfold.jl
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
deconvolution eeg erp event-related-potentials julia mass-univariate-modeling mixed-models modeling overlap regression splines
Last synced: 01 Apr 2026
https://github.com/m-clark/models-by-example
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
algorithms bayesian cox-model expectation-maximization gaussian-processes gradient-descent hamiltonian-monte-carlo lasso linear-regression logistic-regression machine-learning maximum-likelihood-estimation mixed-models neural-network pca penalized-regression ridge-regression rkhs splines zero-inflated
Last synced: 30 Jun 2025
https://github.com/m-clark/visibly
👓 Functions related to R visualizations
adjacent brms coefficients colorgorical complementary gam ggplot2-themes heatmap mermod mgcv mixed-models palettes plotly-theme r r-package random-effects stan tetradic triadic visualization
Last synced: 30 Apr 2025
https://github.com/bambinos/formulae
Formulas for mixed-effects models in Python
bambi mixed-models python wilkinson-formulas
Last synced: 06 Feb 2026
https://github.com/covaruber/sommer
average-information mixed-models rcpparmadillo
Last synced: 18 Feb 2026
https://github.com/unfoldtoolbox/Unfold.jl
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
deconvolution eeg erp event-related-potentials julia mass-univariate-modeling mixed-models modeling overlap regression splines
Last synced: 01 May 2025
https://github.com/strengejacke/mixed-models-snippets
This repository collects various small code snippets or short instructions on how to use or define specific mixed models, mostly with packages lme4 and glmmTMB.
Last synced: 29 Jul 2025
https://github.com/randel/MixRF
A random-forest-based approach for imputing clustered incomplete data
gene-expression imputation mixed-models random-forest
Last synced: 26 Apr 2025
https://github.com/cran-task-views/mixedmodels
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
cran glmm hierarchical-models mixed-effects mixed-models multilevel-models r rstats task-views
Last synced: 11 Oct 2025
https://github.com/pharmcat/metida.jl
Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.
julia mixed-effects mixed-effects-models mixed-models regression statistical-models statistics variance-component
Last synced: 20 Oct 2025
https://github.com/m-clark/generalized-additive-models-workshop-2019
A workshop on using generalized additive models and the mgcv package.
additive-models generalized-additive-models mgcv mixed-models nonlinear penalized-regression penalized-spline splines
Last synced: 30 Apr 2025
https://github.com/m-clark/mixed-models-with-r-workshop-2019
Workshop on using Mixed Models with R
brms glmmtmb lme4 mixed-models nlme r random-coefficients random-effects variance-components
Last synced: 30 Apr 2025
https://github.com/myles-lewis/glmmseq
Gene-level general linear mixed model
bioinformatics cran differential-gene-expression gene-expression glmm mixed-models transcriptomics
Last synced: 22 Oct 2025
https://github.com/repsychling/mixedmodelssim.jl
Simulation tools for Mixed Models
julia mixed-models psycholinguistics simulation statistics
Last synced: 01 May 2025
https://github.com/biometris/lmmsolver
See https://biometris.github.io/LMMsolver for a full description
cran mixed-models r-package splines
Last synced: 23 Feb 2026
https://github.com/mkearney/tidymlm
🎓 Tidy multilevel modeling tools for academics
hierarchical-models mixed-models multilevel-models quantitative-methods rstats statistics tidyversity
Last synced: 12 Apr 2025
https://github.com/m-clark/gammit
Functions for using mgcv for mixed models. 📈
bam gam glmer lme4 lmer mgcv mixed-models random-effects variance-components
Last synced: 30 Apr 2025
https://github.com/m-clark/mixed-models-with-r-workshop
This is the companion slides, data, and RStudio project for a workshop on mixed models.
Last synced: 13 Oct 2025
https://github.com/m-clark/more-mixed-models-2019
Demonstration of alternatives to lme4
brms glmmtmb lme4 mgcv mixed-models python random-effects rstanarm statsmodels
Last synced: 30 Apr 2025
https://github.com/dominiquemakowski/cognitivemodels
Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia
bayesian book cognitive ddm drift-diffusion julia mixed-models models random-factors reaction-time statistical-analysis turing tutorial
Last synced: 14 Oct 2025
https://github.com/m-clark/r-models
A quick reference for how to run many models in R.
additive-models bayesian-models brms catwalk cluster-analysis lme4 machine-learning mgcv mixed-models mixture-model pca psych r regularization sem spatial-analysis statistical-models statistics survival-analysis time-series
Last synced: 15 Jun 2025
https://github.com/palday/jellyme4.jl
RCall support for MixedModels.jl and lme4
julia mixed-effects mixed-models r statistics
Last synced: 17 Mar 2026
https://github.com/m-clark/docs
Documents that go into methodological detail regarding various statistical procedures.
additive-models bayesian-methods mixed-models r stan statistical-procedures structural-equation-modeling
Last synced: 30 Apr 2025
https://github.com/bdilday/mnre
multinomial random effects
cpp mixed-models multinomial r rcpp rcpparmadillo
Last synced: 13 May 2025
https://github.com/palday/mixedmodelsmakie.jl
Plotting functionality for MixedModels.jl implemented in Makie
julia mixed-models plotting vizualization
Last synced: 22 Apr 2025
https://github.com/monk1337/mixclu
A Python package for unsupervised mixed datatypes clustering
clustering clustering-algorithm clustering-models data-analysis deep-learning k-means-clustering kmeans kmeans-clustering kmodes kprototypes machine-learning mix-datatypes mixed-models tabular-data
Last synced: 10 Apr 2025
https://github.com/suren-rathnayake/deepgmm
This package is provides a mixture model based approach for deep learning.
clustering deep-learning mixed-models r
Last synced: 19 Feb 2026
https://github.com/palday/mixedmodelsextras.jl
Extra non essential functionality for MixedModels.jl
Last synced: 26 Oct 2025
https://github.com/m-clark/mixed-models-growth-curves-simulation
Raw files for a document simulating models for longitudinal data (mixed models and growth curve models).
comparison growth-curve-models longitudinal-data mixed-models simulation
Last synced: 30 Apr 2025
https://github.com/m-clark/easy-bayes
Workshop to introduce participants to rstanarm and brms.
bayesian-analysis brms mixed-models r rstan rstanarm stan
Last synced: 30 Apr 2025
https://github.com/inbo/inlatools
An R package with useful functions to diagnose INLA models
bayesian-statistics gplv3 inla mixed-models model-checking model-validation r
Last synced: 02 May 2025
https://github.com/repsychling/smlp2024
SMLP2024: Advanced methods in frequentist statistics with Julia
julia julialang mixed-effects-models mixed-models
Last synced: 31 Oct 2025
https://github.com/palday/mixedmodelspermutations.jl
Permutation tests for MixedModels.jl
bootstrap mixed-models permutation-test
Last synced: 21 Mar 2025
https://github.com/jamesmurray7/gmvjoint
Generalised joint models of survival and multivariate longitudinal data
glmm joint-models longitudinal mixed-models model prediction survival survival-analysis
Last synced: 10 Mar 2026
https://github.com/xinkai-zhou/mixedmodelsblb.jl
A Julia package for analyzing massive longitudinal data using Linear Mixed Models (LMMs) through the Bag of Little Bootstrap (BLB) method.
bigdata julia longitudinal-data mixed-models
Last synced: 05 Oct 2025
https://github.com/pharmcat/metidabioeq.jl
This packege made foe bioequivalence testing.
bioequivalence bioequivalence-study confidence-intervals glm julia mixed-models statistics
Last synced: 05 Mar 2026
https://github.com/m-clark/clustered-data
Raw files for a document covering different approaches to dealing with dependent data.
cluster-data fixed-effects gee mixed-models
Last synced: 08 Oct 2025
https://github.com/m-clark/mixed-models-anova
Raw files for a document introducing mixed models for those familiar with ANOVA.
anova comparison introduction mixed-models
Last synced: 06 Jul 2025
https://github.com/m-clark/mixed-models-growth-curves
Raw files for a document comparing mixed models and growth curve models (sem).
comparison growth-curve-models mixed-models sem
Last synced: 22 Jul 2025
https://github.com/cbg-ethz/perturbatr
Analysis of high-throughput genetic perturbation screens in R.
biological-data-analysis computational-biology mixed-models r statistical-inference
Last synced: 25 May 2026
https://github.com/m-clark/mixed-models-overview
Raw files for a document providing an overview of mixed models from varying perspectives.
mixed-models multilevel-models penalized-regression random-effects
Last synced: 23 Mar 2025
https://github.com/dirmeier/modelframe
Compute fixed and random effects model matrices in Python
design-matrix hierarchical-models mixed-models model-matrix python
Last synced: 04 Apr 2025
https://github.com/m-clark/mixed-models-estimation
Raw files for a document demonstrating some by hand estimation of mixed models.
maximum-likelihood mixed-models mixed-models-estimation
Last synced: 23 Mar 2025
https://github.com/mccarthy-m-g/alda
An R data package for the book "Applied longitudinal data analysis: Modeling change and event occurrence" by Singer and Willett (2003).
data growth-curves longitudinal-data mixed-models nonlinear-mixed-models r r-package structural-equation-modeling survival-analysis time-to-event
Last synced: 19 Jan 2026
https://github.com/palday/krakow2023
mixed-effects-models mixed-models statistics
Last synced: 18 Mar 2026
https://github.com/pharmcat/metidacu.jl
CUDA solver for Metida.jl
cuda julia-language metida mixed-models
Last synced: 27 Apr 2026
https://github.com/anaagg/statistical-analysis-with-r
In this repository you can find the code to deal with statistical problems using R. You will find GLM, GLMM
generalized-linear-models glm glmm lineal-regression lm lmm mixed-model mixed-models
Last synced: 09 Aug 2025
https://github.com/palday/economics2024
An introduction to the MixedModels.jl ecosystem in Julia
julia mixed-effects-models mixed-models
Last synced: 01 Mar 2025
https://github.com/repsychling/mixedmodels-lme4-bridge
Example of using `JellyMe4` to move models back and forth between Julia and R
Last synced: 10 May 2026
https://github.com/jturner-uofl/pymmeans
Estimated marginal means, contrasts, and small-sample mixed-model inference for Python — a native port of R's emmeans and pbkrtest.
biostatistics bootstrap causal-inference contrasts data-science dunnett emmeans g-computation kenward-roger least-squares-means lsmeans marginal-means mixed-models pbkrtest post-hoc-tests python satterthwaite statistics statsmodels tukey
Last synced: 03 Jun 2026
https://github.com/basf/xeredar
Functions for automated statistical analysis of Xenopus Eleutherembryonic Thyroid Assays (XETA), Rapid Androgen Disruption Activity Reporter (RADAR) assays and Rapid Estrogen Activity In Vitro (REACTIV) assays.
endocrine-disruptor hazard-assessment mixed-models radar reactiv xeta
Last synced: 03 Apr 2026
https://github.com/zarah573/mixedmodels
Mixed models analysis collaborative project: experimental design, data collection, and mixed model analysis.
collaboration data-collection experiment experimental-design lmer mixed-models r survey
Last synced: 16 Jun 2026
https://github.com/boennecd/mmcif
Fits the mixed cumulative incidence function models suggested by Cederkvist et al (2018; https://doi.org/10.1093%2Fbiostatistics%2Fkxx072) which decomposes within cluster dependence of risk and timing.
competing-risk composite-likelihood mixed-models sandwich-estimator survival-analysis
Last synced: 19 Feb 2026
https://github.com/ssharpe42/psraa
Pitch Adjusted Swipe Rate Above Average (pSRAA)
baseball ggplot2 mixed-models random-effects sabermetrics
Last synced: 22 Jun 2025
https://github.com/pharmcat/metidanlopt.jl
NLopt.jl implementation for Metida.jl
julia metida mixed-models nlopt
Last synced: 09 Apr 2025