Tutorial on multilevel modeling, using Gelman radon example

An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals, IJCAI 2019

Tools for multiple imputation in multilevel modeling

🎓 Tidy multilevel modeling tools for academics

A series of tutorials for multilevel modeling in R!

A tutorial on Bayesian multilevel modeling using R and Stan.

Mix-WILD is statistical software designed to perform multilevel modeling on intensive longitudinal experience sampling data.

Pizza example data for NYC Predictive Analytics Meetup presentation on multilevel modeling

Repo for data and reproduction files for ECPR Summer School course in multilevel and longitudinal modeling using STATA, Ljubljana, summer 2014

code and data for basics of multilevel modeling tutorial

🥔 Supplementary material for Parent, S.-É., Leblanc, M., Parent, A.-C., Coulibali, Z. and Parent, L.E. (2017). Site-specific multilevel modeling of potato response to nitrogen fertilization. DOI: 10.3389/fenvs.2017.00081

Lab tutorial on multilevel modeling of behavioral and experimental data.

A self-directed curriculum to learn Bayesian methods for hierarchical or multilevel modeling

Rusty framework for multiscale/multilevel modeling

Exercises and Notes about Rabe-Hesketh & Skrondal Multilevel and Longitudinal Modeling Using Stata

Python multilevel modeling (see 'A convex optimization approach to modeling consumer heterogeneity in conjoint estimation')

multilevel modeling helper functions

Course repository (which publishes the website) for the second course on multilevel modeling (i.e., HLM) for the UO COE

This is a companion package for ESCPS 97720 - Multilevel Modeling. This includes useful functions from other packages and data sets that will be used.

PLSandO is an R package for advanced multivariate modeling. It implements PCA, PLS, and PLS-DA, with specialized support for multi-block (MBPCA, MBPLS, MBPLSDA) and multilevel data. The package is built to handle various data scales and dimensions, facilitating seamless exploration, validation, and interpretation in a single tool.

Resources for a slightly wacky coin flipping exercise involving Bayesian multilevel modeling with PyStan

A portion of the ReCentering Psych Stats series focused on multilevel/hierarchical linear modeling.

Data and code used in paper: Students are rarely independent: When, why, and how to use random effects in discipline-based education research

Teaching Multilevel Modeling

undergraduate thesis

Multilevel Structural Equation Modeling 2019

Multilevel Modeling in Epidemiology with GLIMMIX

Mixed-Effect/Multilevel Modeling with R workshop materials

Some code for the multilevel modeling blog post