| performance: An R package for assessment, comparison and testing of statistical models D Lüdecke, MS Ben-Shachar, I Patil, P Waggoner, D Makowski Journal of Open Source Software 6 (60), 2021 | 1917 | 2021 |
| sjPlot: Data visualization for statistics in social science D Lüdecke R package version 2 (7), 1-106, 2021 | 1477 | 2021 |
| ggeffects: Tidy data frames of marginal effects from regression models D Lüdecke Journal of Open Source Software 3 (26), 772, 2018 | 1292 | 2018 |
| effectsize: Estimation of effect size indices and standardized parameters MS Ben-Shachar, D Lüdecke, D Makowski Journal of Open Source Software 5 (56), 2815, 2020 | 923 | 2020 |
| bayestestR: Describing effects and their uncertainty, existence and significance within the Bayesian framework D Makowski, MS Ben-Shachar, D Lüdecke Journal of Open Source Software 4 (40), 1541, 2019 | 904 | 2019 |
| sjPlot: Data visualization for statistics in social science. R package version 2.8. 10 D Lüdecke R Foundation for Statistical Computing, 2021 | 674 | 2021 |
| Indices of effect existence and significance in the Bayesian framework D Makowski, MS Ben-Shachar, SHA Chen, D Lüdecke Frontiers in psychology 10, 2767, 2019 | 550 | 2019 |
| Methods and algorithms for correlation analysis in R D Makowski, MS Ben-Shachar, I Patil, D Lüdecke Journal of Open Source Software 5 (51), 2306, 2020 | 301 | 2020 |
| Extracting, computing and exploring the parameters of statistical models using R D Lüdecke, MS Ben-Shachar, I Patil, D Makowski Journal of Open Source Software 5 (53), 2445, 2020 | 291 | 2020 |
| sjstats: Statistical functions for regression models (Version 0.18. 1) D Lüdecke Geneva: Zenodo CERN 10, 2021 | 210 | 2021 |
| Automated results reporting as a practical tool to improve reproducibility and methodological best practices adoption D Makowski, MS Ben-Shachar, I Patil, D Lüdecke CRAN Available online: https://github. com/easystats/report (accessed on 1 …, 2020 | 125 | 2020 |
| performance: Assessment of regression models performance. R Package Version 0.4. 7 D Lüdecke, D Makowski, P Waggoner, I Patil Appl Stat Using R 440, 5, 2020 | 117 | 2020 |
| Protective behavior in course of the COVID-19 outbreak—survey results from Germany D Lüdecke, O Von Dem Knesebeck Frontiers in public health 8, 572561, 2020 | 114 | 2020 |
| The impact of care on family and health-related quality of life of parents with chronically ill and disabled children N Vonneilich, D Lüdecke, C Kofahl Disability and rehabilitation 38 (8), 761-767, 2016 | 114 | 2016 |
| performance: an R package for assessment, comparison and testing of statistical models. J Open Source Softw 6: 3139 D Lüdecke, M Ben-Shachar, I Patil, P Waggoner, D Makowski | 113 | 2021 |
| sjmisc: Data and variable transformation functions D Lüdecke Journal of Open Source Software 3 (26), 754, 2018 | 107 | 2018 |
| Insight: A unified interface to access information from model objects in R D Lüdecke, PD Waggoner, D Makowski Journal of Open Source Software 4 (38), 1412, 2019 | 102 | 2019 |
| esc: Effect size computation for meta analysis (Version 0.5. 1) D Lüdecke The Comprehensive R Archive Network, 2019 | 101 | 2019 |
| ggeffects: tidy data frames of marginal effects from regression models. J Open Source Softw 3: 772 D Lüdecke | 82 | 2018 |
| Income, financial barriers to health care and public health expenditure: a multilevel analysis of 28 countries TJ Kim, N Vonneilich, D Lüdecke, O von dem Knesebeck Social Science & Medicine 176, 158-165, 2017 | 61 | 2017 |
Dominique MakowskiUniversity of Sussex, Brighton, UKVerified email at sussex.ac.uk
