mixed-models
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💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
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Mar 18, 2025 - R
A Julia package for fitting (statistical) mixed-effects models
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Mar 18, 2025 - Julia
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 **Superseded by the models-by-example repo**.
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Nov 25, 2020 - R
Effect size measures and significance tests
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Mar 7, 2025 - R
An R package for experimental psychologists
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Feb 18, 2024 - R
Covers the basics of mixed models, mostly using@lme4
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Jan 30, 2022 - R
Extended Joint Models for Longitudinal and Survival Data
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Mar 5, 2025 - R
Material for a workshop on Bayesian stats with R
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Oct 17, 2024 - HTML
An R package for extracting results from mixed models that are easy to use and viable for presentation.
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Oct 11, 2022 - R
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
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Jan 28, 2021 - R
👓 Functions related to R visualizations
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Oct 28, 2020 - R
GLMMs with adaptive Gaussian quadrature
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Mar 10, 2025 - R
Formulas for mixed-effects models in Python
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Jan 30, 2025 - Python
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
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Mar 18, 2025 - Julia
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Feb 22, 2025 - HTML
Bayesian estimation of the finishing skill of football players
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Jan 12, 2018 - R
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.
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Apr 25, 2023 - R
A random-forest-based approach for imputing clustered incomplete data
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May 6, 2017 - R
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
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Nov 26, 2024 - R
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