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Extracting, Computing and Exploring the Parameters of Statistical Models using R

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

Journal of Open Source Software, 2020

The parameters R package extracts what a model actually estimated — coefficients, standard errors, intervals, p-values — out of any of the dozens of model classes in R and into one tidy frame, along with the bootstrapping, standardisation and dimensionality-reduction usually needed next.

• DOI: 10.21105/joss.02445
• Full text (PDF)

Keywords: Software Development · Statistical Methods

Cite

Lüdecke, D., Ben-Shachar, M., Patil, I., & Makowski, D. (2020). Extracting, Computing and Exploring the Parameters of Statistical Models using R. Journal of Open Source Software. https://doi.org/10.21105/joss.02445

See also

• 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)
• bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework — Makowski, D., Ben-Shachar, M., & Lüdecke, D. (2019)