# Citing ‘easystats’

# Citation

How to reference easystats?

1. Cite specific packages

The most parsimonious approach is to cite only the particular package that helped you, e.g.,

> “using bayestestR (Makowski, Ben-Shachar, & Lüdecke, 2019)”.

2. Cite the whole ecosystem ❤️

Want to credit the whole easystats ecosystem of packages?

This can be done with a sentence like the following:

> Data processing was carried out with R (R Core Team, 2019) and the easystats ecosystem (Lüdecke, Waggoner, & Makowski, 2019; Lüdecke, Ben-Shachar, Patil, Waggoner, & Makowski, 2021; Makowski, Ben-Shachar, & Lüdecke, 2019; Makowski, Ben-Shachar, Patil, & Lüdecke, 2020; Lüdecke, Ben-Shachar, Patil, & Makowski, 2020; Lüdecke et al., 2021; Ben-Shachar, Lüdecke, & Makowski, 2020)

- Lüdecke, D., Waggoner, P. D., & Makowski, D. (2019). insight: A Unified Interface to Access Information from Model Objects in R. Journal of Open Source Software, 4, 1412. https://doi.org/10.21105/joss.01412

- Makowski, D., Ben-Shachar, M.S., & Lüdecke, D. (2019). bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. Journal of Open Source Software, 4(40), 1541. https://doi.org/10.21105/joss.01541

- Makowski, D., Ben-Shachar, M.S., Patil, I., & Lüdecke, D. (2019). Methods and Algorithms for Correlation Analysis in R. Journal of Open Source Software, 5(51), 2306. https://doi.org/10.21105/joss.02306

- Lüdecke, D., Ben-Shachar, M.S., Patil, I., & Makowski, D. (2020). parameters: Extracting, Computing and Exploring the Parameters of Statistical Models using R. Journal of Open Source Software, 5(53), 2445. https://doi.org/10.21105/joss.02445

- Ben-Shachar, M.S., Lüdecke, D., Makowski, D. (2020). effectsize: Estimation of Effect Size Indices and Standardized Parameters. Journal of Open Source Software, 5(56), 2815. https://doi.org/10.21105/joss.02815

- Lüdecke, D., Ben-Shachar, M.S., Patil, I., Waggoner, P. D., & Makowski, D. (2021). performance: An R Package for Assessment, Comparison and Testing of Statistical Models. Journal of Open Source Software, 6(60), 3139. https://doi.org/10.21105/joss.03139

- Lüdecke, D., Patil, I., Ben-Schachar, M.S., Wiernik, B.M., Waggoner, P., & Makowski, D. (2021). see: An R Package for Visualizing Statistical Models. Journal of Open Source Software, 6(64), 3393, https://doi.org/10.21105/joss.03393

Click here to see the corresponding APA and bibtex entries

    @article{ludecke2019insight,
        journal = {Journal of Open Source Software},
        doi = {10.21105/joss.01412},
        issn = {2475-9066},
        number = {38},
        publisher = {The Open Journal},
        title = {insight: A Unified Interface to Access Information from Model Objects in R},
        url = {http://dx.doi.org/10.21105/joss.01412},
        volume = {4},
        author = {Lüdecke, Daniel and Waggoner, Philip and Makowski, Dominique},
        pages = {1412},
        date = {2019-06-25},
        year = {2019},
        month = {6},
        day = {25}
    }

    @article{makowski2019bayestestr,
        title = {{bayestestR}: {Describing} {Effects} and their {Uncertainty}, {Existence} and {Significance} within the {Bayesian} {Framework}},
        volume = {4},
        issn = {2475-9066},
        shorttitle = {{bayestestR}},
        url = {https://joss.theoj.org/papers/10.21105/joss.01541},
        doi = {10.21105/joss.01541},
        number = {40},
        urldate = {2019-08-13},
        journal = {Journal of Open Source Software},
        author = {Makowski, Dominique and Ben-Shachar, Mattan S. and Lüdecke, Daniel},
        month = aug,
        year = {2019},
        pages = {1541}
    }

    @article{makowski2020correlation,
      doi={10.21105/joss.02306},
      title={Methods and Algorithms for Correlation Analysis in R},
      author={Makowski, Dominique and Ben-Shachar, Mattan S. and Patil, Indrajeet and L{\"u}decke, Daniel},
      journal={Journal of Open Source Software},
      volume={5},
      number={51},
      pages={2306},
      year={2020}
    }

    @article{ludecke20202parameters,
      title = {parameters: Extracting, Computing and Exploring the Parameters of Statistical Models using {R}.},
      volume = {5},
      doi = {10.21105/joss.02445},
      number = {53},
      journal = {Journal of Open Source Software},
      author = {Daniel Lüdecke and Mattan S. Ben-Shachar and Indrajeet Patil and Dominique Makowski},
      year = {2020},
      pages = {2445},
    }

    @article{benchashar2020effectsize,
      title = {{e}ffectsize: Estimation of Effect Size Indices and Standardized Parameters},
      author = {Mattan S. Ben-Shachar and Daniel Lüdecke and Dominique Makowski},
      year = {2020},
      journal = {Journal of Open Source Software},
      volume = {5},
      number = {56},
      pages = {2815},
      publisher = {The Open Journal},
      doi = {10.21105/joss.02815},
      url = {https://doi.org/10.21105/joss.02815},
    }

    @Article{Lüdecke2021performance,
        title = {{performance}: An {R} Package for Assessment, Comparison and Testing of Statistical Models},
        author = {Daniel Lüdecke and Mattan S. Ben-Shachar and Indrajeet Patil and Philip Waggoner and Dominique Makowski},
        year = {2021},
        journal = {Journal of Open Source Software},
        volume = {6},
        number = {60},
        pages = {3139},
        doi = {10.21105/joss.03139},
      }

    @Article{Lüdecke2021see,
        title = {{see}: An {R} Package for Visualizing Statistical Models},
        author = {Daniel Lüdecke and Indrajeet Patil and Mattan S. Ben-Shachar and Brenton M. Wiernik and Philip Waggoner and Dominique Makowski},
        journal = {Journal of Open Source Software},
        year = {2021},
        volume = {6},
        number = {64},
        pages = {3393},
        doi = {10.21105/joss.03393},
      }