References in zbMATH (referenced in 15 articles )

Showing results 1 to 15 of 15.
Sorted by year (citations)

  1. Michael Hahsler and Matthew Bolaños and John Forrest: Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R (2017)
  2. Salim Khalil, Mohamed Fakir: RCrawler: An R package for parallel web crawling and scraping (2017)
  3. Adam Kapelner and Justin Bleich: bartMachine: Machine Learning with Bayesian Additive Regression Trees (2016)
  4. Daniel Fischer, Alain Berro, Klaus Nordhausen, Anne Ruiz-Gazen: REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit (2016) arXiv
  5. Dirk Eddelbuettel; Murray Stokely; Jeroen Ooms: RProtoBuf: Efficient Cross-Language Data Serialization in R (2016)
  6. Neeraj Bokde, Kishore Kulat, Marcus W Beck, Gualberto Asencio-Cortes: R package imputeTestbench to compare imputations methods for univariate time series (2016) arXiv
  7. Jan Thiele: R Marries NetLogo: Introduction to the RNetLogo Package (2014)
  8. Jeroen Ooms: The RAppArmor Package: Enforcing Security Policies in R Using Dynamic Sandboxing on Linux (2013) arXiv
  9. Ian Fellows: Deducer: A Data Analysis GUI for R (2012)
  10. Ilhami Visne; Ahmet Yildiz; Ekran Dilaveroglu; Klemens Vierlinger; Christa Nöhammer; Friedrich Leisch; Albert Kriegner: speedR: An R Package for Interactive Data Import, Filtering and Ready-to-Use Code Generation (2012)
  11. Michael Lawrence; Duncan Temple Lang: RGtk2: A Graphical User Interface Toolkit for R (2010)
  12. Vincent Calcagno; Claire de Mazancourt: glmulti: An R Package for Easy Automated Model Selection with (Generalized) Linear Models (2010)
  13. Hornik, Kurt; Buchta, Christian; Zeileis, Achim: Open-source machine learning: R meets Weka (2009)
  14. Lang, Duncan Temple: A modest proposal: an approach to making the internal R system extensible (2009)
  15. Höhle, Michael; Feldmann, Ulrike: RLadyBug -- an R package for stochastic epidemic models (2007)