Software

I build open-source tools for research methods, reproducible workflows, and statistical reporting. This page collects software projects that are ready for demo, feedback, teaching, or broader use.

mlmr

mlmr is an R package and Shiny app for fitting, understanding, and reporting mixed-effects and multilevel models. It is designed for researchers, instructors, graduate students, and applied analysts who want a guided model-building workflow without giving up transparent R code.

The app uses lme4 under the hood and supports model setup, centering choices, fixed and random effects, interaction terms, APA-style tables, equations, diagnostics, and reproducible exports.

• Open the mlmr documentation site
• View the GitHub repository
• Report issues or give beta feedback

install.packages("pak")
pak::pak("MarcusHarrisUConn/mlmr")
mlmr::run_mlmr()

Future Projects

Additional research software, reproducibility tools, and teaching apps will be added here as they become ready for public testing.