References in zbMATH (referenced in 35 articles )

Showing results 1 to 20 of 35.
Sorted by year (citations)

1 2 next

  1. Michael Robbins, Steven Davenport : microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R (2021) not zbMATH
  2. Martin Happ, Georg Zimmermann, Edgar Brunner, Arne C. Bathke: Pseudo-Ranks: How to Calculate Them Efficiently in R (2020) not zbMATH
  3. Nicolas R. Lauve, Stuart J. Nelson, S. Stanley Young, Robert L. Obenchain, Christophe G. Lambert: LocalControl: An R Package for Comparative Safety and Effectiveness Research (2020) not zbMATH
  4. Agostinelli, Claudio; Valdora, Marina; Yohai, Victor J.: Initial robust estimation in generalized linear models (2019)
  5. da Silva, Natalia; Alvarez-Castro, Ignacio: Clicks and cliques: exploring the soul of the community (2019)
  6. Mateusz Staniak, Przemyslaw Biecek: The Landscape of R Packages for Automated Exploratory Data Analysis (2019) arXiv
  7. Quijano Xacur, Oscar Alberto: The unifed distribution (2019)
  8. Shana Scogin; Johannes Karreth; Andreas Beger; Rob Williams: BayesPostEst: An R Package to Generate Postestimation Quantities for Bayesian MCMC Estimation (2019) not zbMATH
  9. Tarak Kharrat; Georgi Boshnakov; Ian McHale; Rose Baker: Flexible Regression Models for Count Data Based on Renewal Processes: The Countr Package (2019) not zbMATH
  10. Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
  11. Felix Pretis; J. Reade; Genaro Sucarrat: Automated General-to-Specific (GETS) Regression Modeling and Indicator Saturation for Outliers and Structural Breaks (2018) not zbMATH
  12. Alexandra Kuznetsova; Per Brockhoff; Rune Christensen: lmerTest Package: Tests in Linear Mixed Effects Models (2017) not zbMATH
  13. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  14. Chen, Ding-Geng (Din); Peace, Karl E.; Zhang, Pinggao: Clinical trial data analysis using R and SAS (2017)
  15. Ross Jacobucci: regsem: Regularized Structural Equation Modeling (2017) arXiv
  16. Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017) not zbMATH
  17. Templ, Matthias: Statistical disclosure control for microdata. Methods and applications in R (2017)
  18. Manuel Koller: robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models (2016) not zbMATH
  19. Marek Hlavac: TableMaker: An Excel Macro for Publication-Quality Tables (2016) not zbMATH
  20. Marius Hofert; Martin Mächler: Parallel and Other Simulations in R Made Easy: An End-to-End Study (2016) not zbMATH

1 2 next