Citing 'easystats'"

options(
  knitr.kable.NA = "",
  digits = 2
)

knitr::opts_chunk$set(
  comment = ">",
  dpi = 450,
  message = FALSE,
  warning = FALSE
)

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)".

  1. 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)

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},
  }



Try the easystats package in your browser

Any scripts or data that you put into this service are public.

easystats documentation built on Sept. 11, 2024, 7:59 p.m.