CRAN

R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. Please consult the R project homepage for further information. CRAN is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R. Please use the CRAN mirror nearest to you to minimize network load

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References in zbMATH (referenced in 473 articles , 1 standard article )

Showing results 1 to 20 of 473.
Sorted by year (citations)

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  1. Andreas Hill, Alexander Massey, Daniel Mandallaz: The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories (2021) not zbMATH
  2. Bénard, Clément; Biau, Gérard; Da Veiga, Sébastien; Scornet, Erwan: SIRUS: stable and interpretable RUle set for classification (2021)
  3. Claudio Zandonella Callegher, Giulia Bertoldo, Enrico Toffalini, Anna Vesely, Angela Andreella, Massimiliano Pastore, Gianmarco Altoè: PRDA: An R package for Prospective and Retrospective Design Analysis (2021) not zbMATH
  4. Michael C. Thrun, Quirin Stier: Fundamental clustering algorithms suite (2021) not zbMATH
  5. Valeria Policastro, Dario Righelli, Annamaria Carissimo, Luisa Cutillo, Italia De Feis: ROBustness In Network (robin): an R package for Comparison and Validation of communities (2021) arXiv
  6. Annarosa Quarello, Olivier Bock, Emilie Lebarbier: A new segmentation method for the homogenisation of GNSS-derived IWV time-series (2020) arXiv
  7. Bajalinov, E.; Duleba, Sz.: Seasonal time series forecasting by the Walsh-transformation based technique (2020)
  8. Bangyao Zhao, Lili Zhao: Data Mining in Large Frequency Tables With Ontology, with an Application to the Vaccine Adverse Event Reporting System (2020) arXiv
  9. Benjamin G. Stokell, Rajen D. Shah, Ryan J. Tibshirani: Modelling High-Dimensional Categorical Data Using Nonconvex Fusion Penalties (2020) arXiv
  10. Bob Obenchain: Ridge TRACE Diagnostics (2020) arXiv
  11. Bradley C. Saul, Michael G. Hudgens: The Calculus of M-Estimation in R with geex (2020) not zbMATH
  12. Calissano, Anna; Vantini, Simone; Arena, Marika: Monitoring rare categories in sentiment and opinion analysis: a Milan mega event on Twitter platform (2020)
  13. Cappozzo, Andrea; Greselin, Francesca; Murphy, Thomas Brendan: A robust approach to model-based classification based on trimming and constraints. Semi-supervised learning in presence of outliers and label noise (2020)
  14. Chainarong Amornbunchornvej: mFLICA: An R package for Inferring Leadership of Coordination From Time Series (2020) arXiv
  15. Chakraborty, Saptarshi; Paul, Debolina; Das, Swagatam: Hierarchical clustering with optimal transport (2020)
  16. Cheng, Dan; He, Zhibing; Schwartzman, Armin: Multiple testing of local extrema for detection of change points (2020)
  17. David B. Dahl: Integration of R and Scala Using rscala (2020) not zbMATH
  18. de Castro, Mário; Gómez, Yolanda M.: A Bayesian cure rate model based on the power piecewise exponential distribution (2020)
  19. Ducharme, Gilles R.; Lafaye de Micheaux, Pierre: A goodness-of-fit test for elliptical distributions with diagnostic capabilities (2020)
  20. Fabrizi, Enrico; Salvati, Nicola; Trivisano, Carlo: Robust Bayesian small area estimation based on quantile regression (2020)

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Further publications can be found at: http://journal.r-project.org/