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see: An R Package for Visualizing Statistical Models

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

Journal of Open Source Software, 2021

see is the plotting half of easystats: it takes what the other packages return — model checks, effect sizes, posteriors, correlation matrices, cluster solutions — and draws it, so that a diagnostic is looked at rather than read off a table.

• DOI: 10.21105/joss.03393
• Full text (PDF)

Keywords: Software Development · Statistical Methods

Cite

Lüdecke, D., Patil, I., Ben-Shachar, M., Wiernik, B., Waggoner, P., & Makowski, D. (2021). see: An R Package for Visualizing Statistical Models. Journal of Open Source Software. https://doi.org/10.21105/joss.03393

See also

• performance: An R Package for Assessment, Comparison and Testing of Statistical Models — Lüdecke, D., Ben-Shachar, M., Patil, I., 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)