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Daniel Lüdecke
Daniel Lüdecke
Institut für Medizinische Soziologie, Universitätsklinikum Hamburg-Eppendorf
Verified email at uke.de
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Cited by
Cited by
Year
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
18272021
sjPlot: Data visualization for statistics in social science
D Lüdecke
R package version 2 (7), 1-106, 2021
14502021
ggeffects: Tidy data frames of marginal effects from regression models
D Lüdecke
Journal of Open Source Software 3 (26), 772, 2018
12582018
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
8832019
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
8812020
sjPlot: Data visualization for statistics in social science. R package version 2.8. 10
D Lüdecke
R Foundation for Statistical Computing, 2021
6572021
Indices of effect existence and significance in the Bayesian framework
D Makowski, MS Ben-Shachar, SH Chen, D Lüdecke
Frontiers in psychology 10, 498833, 2019
5322019
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
2892020
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
2792020
sjstats: Statistical functions for regression models (Version 0.18. 1)
D Lüdecke
Geneva: Zenodo CERN 10, 2021
2092021
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
1202020
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
1172020
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
1122020
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
1112016
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
1082021
sjmisc: Data and variable transformation functions
D Lüdecke
Journal of Open Source Software 3 (26), 754, 2018
1042018
esc: Effect size computation for meta analysis (Version 0.5. 1)
D Lüdecke
The Comprehensive R Archive Network, 2019
1002019
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
982019
ggeffects: tidy data frames of marginal effects from regression models. J Open Source Softw 3: 772
D Lüdecke
772018
Sjstats: Statistical Functions for Regression Models R package version 0. 17. 1
D Lüdecke
Online). https://CRAN. R-project. org/package= sjstats, 2018
602018
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