References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Ramasubramanian, Karthik; Singh, Abhishek: Machine learning using R. With time series and industry-based use cases in R (2019)
  2. Michael Hahsler and Matthew Bolaños and John Forrest: Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R (2017) not zbMATH
  3. Salim Khalil, Mohamed Fakir: RCrawler: An R package for parallel web crawling and scraping (2017) not zbMATH
  4. Adam Kapelner and Justin Bleich: bartMachine: Machine Learning with Bayesian Additive Regression Trees (2016) not zbMATH
  5. Daniel Fischer, Alain Berro, Klaus Nordhausen, Anne Ruiz-Gazen: REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit (2016) arXiv
  6. Dirk Eddelbuettel; Murray Stokely; Jeroen Ooms: RProtoBuf: Efficient Cross-Language Data Serialization in R (2016) not zbMATH
  7. Neeraj Bokde, Kishore Kulat, Marcus W Beck, Gualberto Asencio-Cortes: R package imputeTestbench to compare imputations methods for univariate time series (2016) arXiv
  8. Jan Thiele: R Marries NetLogo: Introduction to the RNetLogo Package (2014) not zbMATH
  9. Jeroen Ooms: The RAppArmor Package: Enforcing Security Policies in R Using Dynamic Sandboxing on Linux (2013) arXiv
  10. Ian Fellows: Deducer: A Data Analysis GUI for R (2012) not zbMATH
  11. 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) not zbMATH
  12. Michael Lawrence; Duncan Temple Lang: RGtk2: A Graphical User Interface Toolkit for R (2010) not zbMATH
  13. Vincent Calcagno; Claire de Mazancourt: glmulti: An R Package for Easy Automated Model Selection with (Generalized) Linear Models (2010) not zbMATH
  14. Anthony la Grange; Niël le Roux; Sugnet Gardner-Lubbe: BiplotGUI: Interactive Biplots in R (2009) not zbMATH
  15. Hornik, Kurt; Buchta, Christian; Zeileis, Achim: Open-source machine learning: R meets Weka (2009)
  16. Lang, Duncan Temple: A modest proposal: an approach to making the internal R system extensible (2009)
  17. Höhle, Michael; Feldmann, Ulrike: RLadyBug -- an R package for stochastic epidemic models (2007)
  18. Ligges, Uwe: Programming with R (2007)
  19. Rajarshi Guha: Chemical Informatics Functionality in R (2007) not zbMATH