https://github.com/ejolly/pymer4

All the convenience of lme4 in python

lme4 mixed-models python

Last synced: 01 May 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: 22 Nov 2024

https://github.com/pakillo/lm-glm-glmm-intro

A unified framework for data analysis with GLM/GLMM in R

glm glmm lm lme4 multilevel-models r slide statistics

Last synced: 05 Apr 2025

https://github.com/jthaman/ciTools

An R Package for Quick Uncertainty Intervals

lme4 modeling r tidyverse

Last synced: 04 Dec 2024

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/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.

glmm lme4 mixed-models r

Last synced: 19 Mar 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/fcorowe/countdata_modelling

Quick Guide for Modelling Count Data in A Multilevel Framework

glmmtmb lme4 negative-binomial-regression poisson-regression r-stats

Last synced: 15 Mar 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.

lme4 mixed-models workshop

Last synced: 23 Mar 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: 30 Apr 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/mattansb/hierarchical-linear-models-for-psychologists

bgu-university easystats lme4 mixed-models psychologists rstats statistics tau-university teaching-materials

Last synced: 19 Mar 2025

https://github.com/chrismainey/multilevel_example

An example of multilevel models

funnel-plots lme4 multilevel-models rstats

Last synced: 31 Mar 2025

https://github.com/panoschatzi/erythrocyte_study_statistical_analyses

R code for data transformation, analysis and visualization of experimental data, as well as for statistical analyses and quantitative simulations.

afex data-analysis emmeans ggplot2 lme4 purrr r rprogramming rstats rstudio statistics tidyverse visualization

Last synced: 04 Apr 2025