#计算机科学#💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
A Julia package for fitting (statistical) mixed-effects models
#计算机科学#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 **Superseded by the models-by-example repo**.
An R package for experimental psychologists
Covers the basics of mixed models, mostly using @lme4
Extended Joint Models for Longitudinal and Survival Data
Material for a workshop on Bayesian stats with R
An R package for extracting results from mixed models that are easy to use and viable for presentation.
#算法刷题#By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
#计算机科学#Bayesian estimation of the finishing skill of football players
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.
A random-forest-based approach for imputing clustered incomplete data
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R