index.qmd

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title: "The Linear Mixed Modelers"
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Linear mixed models (LMMs) are statistical models that account for both fixed and random effects. In this report, we provided a systematic review of LMMs, their applications, their limitations, and more. Importantly, we developed this report and **by-example** analysis of LMMs in R.

As part of **Spring 2024** **Advanced Statistical Modeling (STA 6257) Capstone Project at the University of West Florida**, our team critically analyzed, assessed, and produced a LMM and elaborated on potential applications in a professional report. This website was built using R/Quarto as was the entire project.

This project was completed under the guidance of **Dr. Achraf Cohen ([Achraf Cohen \| Dr. Achraf Cohen](https://pages.uwf.edu/acohen/index.html)).**

Here's a snapshot of the capstone project:

![](images/LMM2.png){.lightbox fig-align="center" width="459" height="942"}

Feel free to meet and contact our team, **The Linear Mixed Modelers**, on the **About Us** tab and review our individual literature contributions on the **Literature** tab. Our overall report is on the **Report** tab with final slides and poster presentation extracted on the **Resources** tab.