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

Daniel Lüdecke; Mattan S. Ben‐Shachar; Indrajeet Patil; Philip Waggoner; Dominique Makowski · The Journal of Open Source Software · 2021

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Author / responsible party
Daniel Lüdecke; Mattan S. Ben‐Shachar; Indrajeet Patil; Philip Waggoner; Dominique Makowski
Publisher
The Journal of Open Source Software
Year
2021
Language
English

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A crucial part of statistical analysis is evaluating a model's quality and fit, or performance. During analysis, especially with regression models, investigating the fit of models to data also often involves selecting the best fitting model amongst many competing models. Upon investigation, fit indices should also be reported both visually and numerically to bring readers in on the investigative effort.

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APA 7

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

MLA

Lüdecke, Daniel, et al. "performance: An R Package for Assessment, Comparison and Testing of Statistical Models." 2021. https://doi.org/10.21105/joss.03139.

Chicago

Lüdecke, Daniel, Mattan S. Ben‐Shachar, Indrajeet Patil, Philip Waggoner, and Dominique Makowski. 2021. "performance: An R Package for Assessment, Comparison and Testing of Statistical Models.". https://doi.org/10.21105/joss.03139.

Harvard

Lüdecke, D. et al. 2021, performance: An R Package for Assessment, Comparison and Testing of Statistical Models, The Journal of Open Source Software, available at: https://doi.org/10.21105/joss.03139 [Accessed 8 Aug. 2026].

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Title
performance: An R Package for Assessment, Comparison and Testing of Statistical Models
Author / contributors
Daniel Lüdecke; Mattan S. Ben‐Shachar; Indrajeet Patil; Philip Waggoner; Dominique Makowski
Publisher
The Journal of Open Source Software
Publication year
2021
Language
English

Subjects

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R package; Computer science; Statistical hypothesis testing; Reliability engineering; Statistics; Mathematics; Engineering; Programming language
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