A convenient function for those who wish to cite the easystats packages.

cite_easystats()

Value

An object of class cite_easystats that can be printed, summarized (using summary()), or transformed into a table (using as.data.frame()).

Examples

cite_easystats()
#> Thanks for crediting us :) You can cite the 'easystats' ecosystem as follows:
#> 
#> Data analysis was carried out using the 'easystats' collection of packagaes (Ludecke, Waggoner, & Makowski, 2019; Makowski, Ben-Shachar, & Ludecke, 2019; Makowski, Ben-Shachar, Patil, & Ludecke, 2020; Ludecke, Ben-Shachar, Patil, & Makowski, 2020; Ben-Shachar, Ludecke, & Makowski, 2020).
#> 
#> References
#> ----------
#> 
#> - Ludecke, 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. doi: 10.21105/joss.01412
#> - Makowski, D., Ben-Shachar, M.S., & Ludecke, D. (2019). bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. Journal of Open Source Software, 4(40), 1541. 10.21105/joss.01541
#> - Ludecke, 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. doi: 10.21105/joss.02445
#> - Ben-Shachar, M.S., Ludecke, D., Makowski, D. (2020). effectsize: Estimation of Effect Size Indices and Standardized Parameters. Journal of Open Source Software, 5(56), 2815. doi: 10.21105/joss.02815
#> - Makowski, D., Ben-Shachar, M.S., Patil, I., & Ludecke, D. (2019). Methods and Algorithms for Correlation Analysis in R. Journal of Open Source Software, 5(51), 2306. 10.21105/joss.02306
#> 
#> 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 = {L{"u}decke, 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 L{"u}decke, 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 L{"u}decke 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 L{"u}decke 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},
#>   }
#>   
summary(cite_easystats())
#> Data analysis was carried out using the 'easystats' collection of packagaes (Ludecke, Waggoner, & Makowski, 2019; Makowski, Ben-Shachar, & Ludecke, 2019; Makowski, Ben-Shachar, Patil, & Ludecke, 2020; Ludecke, Ben-Shachar, Patil, & Makowski, 2020; Ben-Shachar, Ludecke, & Makowski, 2020).
#> 
#> References
#> ----------
#> 
#> - Ludecke, 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. doi: 10.21105/joss.01412
#> - Makowski, D., Ben-Shachar, M.S., & Ludecke, D. (2019). bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. Journal of Open Source Software, 4(40), 1541. 10.21105/joss.01541
#> - Ludecke, 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. doi: 10.21105/joss.02445
#> - Ben-Shachar, M.S., Ludecke, D., Makowski, D. (2020). effectsize: Estimation of Effect Size Indices and Standardized Parameters. Journal of Open Source Software, 5(56), 2815. doi: 10.21105/joss.02815
#> - Makowski, D., Ben-Shachar, M.S., Patil, I., & Ludecke, D. (2019). Methods and Algorithms for Correlation Analysis in R. Journal of Open Source Software, 5(51), 2306. 10.21105/joss.02306
as.data.frame(cite_easystats())
#>                                                                                                                                                                                                                                  Reference
#> 1                                      Ludecke, 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. doi: 10.21105/joss.01412
#> 2 Makowski, D., Ben-Shachar, M.S., & Ludecke, D. (2019). bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. Journal of Open Source Software, 4(40), 1541. 10.21105/joss.01541
#> 3     Ludecke, 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. doi: 10.21105/joss.02445
#> 4                                   Ben-Shachar, M.S., Ludecke, D., Makowski, D. (2020). effectsize: Estimation of Effect Size Indices and Standardized Parameters. Journal of Open Source Software, 5(56), 2815. doi: 10.21105/joss.02815
#> 5                                                Makowski, D., Ben-Shachar, M.S., Patil, I., & Ludecke, D. (2019). Methods and Algorithms for Correlation Analysis in R. Journal of Open Source Software, 5(51), 2306. 10.21105/joss.02306