Daniel Lüdecke
Statistics and Probability · 2018–2021
A researcher in the Science corpus: 8 papers; trusts 12 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 34 citations into it; #6,902 of 12,932 by trust here, #8,279 by citations
- Artificial Intelligence — 16 citations into it; #7,404 of 35,345 by trust here, #19,439 by citations
- Experimental and Cognitive Psychology — 5 citations into it
- Management Science and Operations Research — 5 citations into it; #9,962 of 11,946 by trust here, #11,360 by citations
Whom Daniel Lüdecke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dominique Makowski
- Achim Zeileis
- John K. Kruschke
- Mattan S. Ben-Shachar
- Sanford Weisberg
- P. Lachenbruch
- Lesa Hoffman
- Eric-Jan Wagenmakers
- John Fox
- Paul-Christian Burkner
Who trusts Daniel Lüdecke overall
- Indrajeet Patil
- Erika A. Patall
- Evan M. Kleiman
- Mattan S. Ben-Shachar
- Rob Voigt
- S. Hooper
- Brianna J. Turner
- Nicholas P. Camp
- W. Kunin
- Dominique Makowski
Papers from Daniel Lüdecke's perspective
Ordered by how strongly the researchers Daniel Lüdecke trusts endorse each paper. Same corpus, a different order for every researcher.
- An R Companion to Applied Regression
- Bayesian Assessment of Null Values Via Parameter Estimation and Model Comparison (Perspectives on Psychological Science)
- Scientific method: Statistical errors (Nature)
- Object-oriented Computation of Sandwich Estimators
- Default Bayes Factors for Model Selection in Regression (Multivariate Behavioral Research)
- brms: An R Package for Bayesian Multilevel Models Using Stan
- The ASA Statement on p-Values: Context, Process, and Purpose
- False-Positive Psychology (Psychology Science)
- A practical solution to the pervasive problems ofp values (Psychonomic Bulletin & Review)
- Bayesian data analysis.
Their papers
- Methods and Algorithms for Correlation Analysis in R (2020) — 391 citations
- Extracting, Computing and Exploring the Parameters of Statistical Models using R (2020) — 444 citations
- performance: An R Package for Assessment, Comparison and Testing of Statistical Models (2021) — 4,679 citations
- effectsize: Estimation of Effect Size Indices and Standardized Parameters (2020) — 1,720 citations
- Indices of Effect Existence and Significance in the Bayesian Framework (2019) — 780 citations
- bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework (2019) — 1,222 citations
- ggeffects: Tidy Data Frames of Marginal Effects from Regression Models (2018) — 2,302 citations
- Sjplot - Data Visualization For Statistics In Social Science. (2018) — 1,989 citations