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performance: An R Package for Assessment, Comparison and Testing of Statistical Models

Lüdecke, D., Ben-Shachar, M., Patil, I., Waggoner, P., & Makowski, D.

Journal of Open Source Software, 2021

performance is the easystats package for asking whether a model is any good: R², ICC, overdispersion, collinearity, outliers and residual normality, plus model comparison. `check_model()` runs the diagnostics that apply and draws them, rather than leaving the analyst to remember which ones those are.

• DOI: 10.21105/joss.03139
• Full text (PDF)

Keywords: Software Development · Statistical Methods

Cite

Lüdecke, D., Ben-Shachar, M., Patil, I., Waggoner, P., & Makowski, D. (2021). performance: An R Package for Assessment, Comparison and Testing of Statistical Models. Journal of Open Source Software. https://doi.org/10.21105/joss.03139

See also

• see: An R Package for Visualizing Statistical Models — Lüdecke, D., Patil, I., Ben-Shachar, M., Wiernik, B., Waggoner, P., & Makowski, D. (2021)
• Methods and Algorithms for Correlation Analysis in R — Makowski, D., Ben-Shachar, M., Patil, I., & Lüdecke, D. (2020)
• effectsize: Estimation of Effect Size Indices and Standardized Parameters — Ben-Shachar, M., Lüdecke, D., & Makowski, D. (2020)