mixed-models

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 **Superseded by the models-by-example repo**.

python machine-learning r julia zip matlab irt pca survival-analysis bayesian stan em mixture-model factor-analysis gaussian-processes jags mixed-models additive-models ordinal-regression probit

UpdatedNov 25, 2020
R

strengejacke /sjstats

Star190

Effect size measures and significance tests

r regression-models statistical-measures mixed-models significance-testing effectsize

UpdatedMar 7, 2025
R

neuropsychology /psycho.R

Star149

An R package for experimental psychologists

r statistics apa correlation format neuroscience psychology bayesian rstanarm mixed-models interpretation psycho apa6

UpdatedFeb 18, 2024
R

m-clark /mixed-models-with-R

Star139

Covers the basics of mixed models, mostly using@lme4

r multilevel-models brms linear-mixed-models covariance variance-components mixed-models random-effects lme4 hierarchical-linear-models random-intercepts random-slopes generalized-linear-mixed-models crossed-random-effects nested-random-effects nlme glmmtmb

UpdatedJan 30, 2022
R

drizopoulos /JMbayes2

Star84

Extended Joint Models for Longitudinal and Survival Data

multi-state prediction-model mixed-models competing-risks precision-medicine survival-models personalized-medicine longitudinal-analysis

UpdatedMar 5, 2025
R

oliviergimenez /bayesian-stats-with-R

Star71

Material for a workshop on Bayesian stats with R

rstats bayesian-inference mcmc glmm jags mixed-models

UpdatedOct 17, 2024
HTML

m-clark /mixedup

Star69

An R package for extracting results from mixed models that are easy to use and viable for presentation.

brms variance-components mixed-models mgcv random-effects lme4 nlme random-coefficients glmmtmb

UpdatedOct 11, 2022
R

m-clark /models-by-example

Star67

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

machine-learning neural-network algorithms linear-regression lasso pca expectation-maximization splines logistic-regression bayesian gradient-descent rkhs ridge-regression gaussian-processes cox-model hamiltonian-monte-carlo mixed-models penalized-regression maximum-likelihood-estimation zero-inflated

UpdatedJan 28, 2021
R

m-clark /visibly

Star63

👓 Functions related to R visualizations

visualization r heatmap gam stan brms r-package palettes mixed-models ggplot2-themes mgcv random-effects plotly-theme adjacent coefficients complementary colorgorical triadic tetradic mermod

UpdatedOct 28, 2020
R

drizopoulos /GLMMadaptive

Star61

GLMMs with adaptive Gaussian quadrature

mixed-models generalized-linear-mixed-models mixed-effects-models

UpdatedMar 10, 2025
R

bambinos /formulae

Star58

Formulas for mixed-effects models in Python

python mixed-models bambi wilkinson-formulas

UpdatedJan 30, 2025
Python

unfoldtoolbox /Unfold.jl

Star51

Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia

erp julia modeling overlap regression eeg splines event-related-potentials deconvolution mixed-models mass-univariate-modeling

UpdatedMar 18, 2025
Julia

covaruber /sommer

Star44

rcpparmadillo mixed-models average-information

UpdatedFeb 22, 2025
HTML

huffyhenry /statsbomb-bayesian-shooting

Star40

Bayesian estimation of the finishing skill of football players

machine-learning football bayesian-inference jags mixed-models

UpdatedJan 12, 2018
R

strengejacke /mixed-models-snippets

Star36

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.

r glmm mixed-models lme4