References in zbMATH (referenced in 57 articles )

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  1. Akalin, Altuna: Computational genomics with R. With the assistance of Verdan Franke, Bora Uyar and Jonathan Ronen (2021)
  2. Artur Karczmarczyk, Jarosław Jankowski, Jarosław Wątróbski: OONIS - Object-Oriented Network Infection Simulator (2021) not zbMATH
  3. Ashirwad Barnwal, Jennifer Merickel, Matthew Rizzo, Luis Riera-Garcia, Soumik Sarkar, Anuj Sharma: ndsintxn: An R Package for Extracting Information from Naturalistic Driving Data to Support Driver Behavior Analyses at Intersections (2021) arXiv
  4. Carstensen, Bendix: Epidemiology with R (2021)
  5. Dawkins, Laura C.; Williamson, Daniel B.; Mengersen, Kerrie L.; Morawska, Lidia; Jayaratne, Rohan; Shaddick, Gavin: Where is the clean air? A Bayesian decision framework for personalised cyclist route selection using R-INLA (2021)
  6. Phaphan, Wikanda: R package for the two-parameters crack distribution (2021)
  7. Thomas Nagler: R-Friendly Multi-Threading in C++ (2021) not zbMATH
  8. Tyler Morgan-Wall, George Khoury: Optimal Design Generation and Power Evaluation in R: The skpr Package (2021) not zbMATH
  9. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2021)
  10. Begüm D. Topçuoğlu; Zena Lapp; Kelly L. Sovacool; Evan Snitkin; Jenna Wiens; Patrick D. Schloss: mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines (2020) not zbMATH
  11. Dayal, Vikram: Quantitative economics with R. A data science approach (2020)
  12. Frits Traets, Daniel Gil Sanchez, Martina Vandebroek: Generating Optimal Designs for Discrete Choice Experiments in R: The idefix Package (2020) not zbMATH
  13. Granata, Ilaria; Guarracino, Mario Rosario; Maddalena, Lucia; Manipur, Ichcha: Network distances for weighted digraphs (2020)
  14. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  15. Zamora Saiz, Alfonso; Quesada González, Carlos; Hurtado Gil, Lluís; Mondéjar Ruiz, Diego: An introduction to data analysis in R. Hands-on coding, data mining, visualization and statistics from scratch (2020)
  16. April M Wright: treesiftr: An R package and server for viewing phylogenetic trees and data (2019) not zbMATH
  17. Euán, Carolina; Sun, Ying; Ombao, Hernando: Coherence-based time series clustering for statistical inference and visualization of brain connectivity (2019)
  18. Gilles Kratzer, Fraser Iain Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer: Additive Bayesian Network Modelling with the R Package abn (2019) arXiv
  19. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  20. Pfaff, Thomas J.: R for college mathematics and statistics (2019)

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