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Examples may be incomplete or incorrect.

Overview test file

Autoregressive Cross-Lagged Models Cross-Lagged Panel Models (CLPM)

Latent Change Score Models (LCSM)Latent Transition Analysis (LTA)Residualized Change Scores

Linear Mixed-Effects Models

Latent Growth Curve Models (LGCM)Multilevel Growth Models Multivariate Latent Growth Curve Models Piecewise Growth Models

Growth Mixture Models (GMM)Latent Class Growth Analysis (LCGA)

Discrete-Time Survival Models Survival Analysis with Time-Dependent Covariates

Time-Varying Covariates Models (TVCM)

Generalized Estimating Equations (GEE)Latent Curve Model with Structured Residuals (LCM-SR)Random Intercept Cross-Lagged Panel Model (RI-CLPM)

Cleaning and Transforming Data for Longitudinal Analysis

Diagnostic Plots for Longitudinal Data Models Model Evaluation in Longitudinal Data Analysis

Customizing Plots with ggplot2 ggplot2 Basics

Bootstrapping and Resampling Cross-Validation and Resampling for Longitudinal Models Handling Missing Data

Tutorials Overview

Overview Random Intercept LMM Random Intercept & Slope LMM Random Intercept & Slope LMM w/ TIC

R Programming Tools rcontent 1 R Resources

Linear Mixed Models

Overview

Main

Explore a curated collection of essential tools for data science, programming, and development.

🚀 Introduction to Linear Mixed Models
🚀 Core Components of LMMs
🚀 Practical Considerations and Model Implementation

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