There are 3 repositories under multilevel-models topic.
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
Covers the basics of mixed models, mostly using @lme4
A unified framework for data analysis with GLM/GLMM in R
powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
Material for a Bayesian statistics workshop
An extensive multi-vendor e-commerce application with endless features and modules and a dedicated API with Passport authentication
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
metaSEM package
Tools for multiple imputation in multilevel modeling
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
📈 Useful notes and personal collections on statistics.
multilevelcoda R package for Bayesian compositional multilevel modelling
React Multilevel Dropdown Menu.
This repository includes Matlab codes/routines that were used in our manuscript entitled "Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks" that can be found in this preprint: https://arxiv.org/abs/1911.06286
Case studies with Bayesian methods
TIDAL: Tool to Implement Developmental Analyses of Longitudinal data. An R Shiny app.
Workshop - Introduction to Bayesian statistical modelling
Digital evolution model dedicated to bacterial in silico experimental evolution.
# kaefa kwangwoon automated exploratory factor analysis for improving research capability to identify unexplained factor structure with complexly cross-classified multilevel structured data in R environment
Curated list of the sources about multilevel models
A repo for "Extreme Precipitation-Temperature Scaling in California: The Role of Atmospheric Rivers"
R Package for modeling ICC variance components and obtaining individual or group-specific reliability estimates.
Predicting Elections Using GAMs and Post-Stratification