Package index

Package overview

mlmr mlmr-package

A Guided Interface for Mixed-Effects and Multilevel Models

Launch the app

run_mlmr()

Launch the mlmr Shiny App

Specify and fit models

example_hsb()

Generate an HSB-Style Multilevel Example Dataset

mlm_spec() print(<mlm_spec>)

Create a Multilevel Model Specification

mlm_formula()

Build an lme4 Formula From an mlmr Specification

mlm_fit() print(<mlm_result>)

Fit a Multilevel Model Specification

Scope and validation

mlm_supported_models()

Summarize the Current mlmr Modeling Scope

mlm_hlm8_parity() mlm_validation_benchmarks() mlm_validation_report()

Inspect HLM-Style Feature Parity and Validation Benchmarks

Report models

mlm_apa_tables() mlm_equations() mlm_latex_equations()

Create Tables and Equations for a Fitted mlmr Model

mlm_reproducibility_check() mlm_methods_text() mlm_publication_bundle()

Create Publication and Reproducibility Materials

mlm_software_table() mlm_software_apa() mlm_papaja_code()

Report R and Package Versions