useR! 2024

The simpr package was designed from the ground up to make simulation -- an invaluable tool for understanding statistical models both for students and professionals -- easier to use in R. Recent updates to simpr make simulation easier than ever, allowing a full workflow to be concisely specified in a single tidy pipeline inspired by the infer package without the need for creating external functions, global values, or using loops. This pipeline includes specifying data-generating processes, defining and varying design parameters, generating many simulated datasets, fitting models, and consolidating model results. New features include reproducibility of individual simulation datasets/results (without needing to run the entire pipeline again), parallel processing support, flexible bulk data-munging options across multiple simulated datasets, advanced error-handling options, and more. The presentation will compare simpr with other approaches for simulation in R and show applications of simpr for assessing study designs (e.g. power analysis), performing simulation studies, and teaching statistics.