R

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control. R is the base for many R packages listed in https://cran.r-project.org/

This software is also referenced in ORMS.


References in zbMATH (referenced in 8359 articles , 6 standard articles )

Showing results 1 to 20 of 8359.
Sorted by year (citations)

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  1. Abdi, Hervé; Beaton, Derek: Principal component and correspondence analyses using R (to appear) (2021)
  2. Gibbons, Jean Dickinson; Chakraborti, Subhabrata: Nonparametric statistical inference (to appear) (2021)
  3. Kirkwood, James R.; Kirkwood, Bessie H.: Linear algebra (2021)
  4. Kitagawa, Genshiro: Introduction to time series modeling with applications in R (2021)
  5. Kolosova, Tanya; Berestizhevsky, Samuel: Supervised machine learning. Optimization framework and applications with SAS and R (2021)
  6. Manly, Bryan F. J.; Navarro Alberto, Jorge A.: Randomization, bootstrap and Monte Carlo methods in biology (2021)
  7. Martin, Olivier; Fernandez-Diclo, Yasmil; Coville, Jérôme; Soubeyrand, Samuel: Equilibrium and sensitivity analysis of a spatio-temporal host-vector epidemic model (2021)
  8. Michael C. Thrun, Quirin Stier: Fundamental clustering algorithms suite (2021) not zbMATH
  9. Ramachandran, Kandethody M.; Tsokos, Chris P.: Mathematical statistics with applications in R (2021)
  10. Rausand, Marvin; Barros, Anne; Hoyland, Arnljot: System reliability theory. Models, statistical methods, and applications (to appear) (2021)
  11. Aaron Cochrane: TEfits: Nonlinear regression for time-evolving indices (2020) not zbMATH
  12. Aaron R. Wolen; Chris H.J. Hartgerink; Ryan Hafen; Brian G. Richards; Courtney K. Soderberg; Timothy P. York: osfr: An R Interface to the Open Science Framework (2020) not zbMATH
  13. Abid, Rahma; Kokonendji, Célestin C.; Masmoudi, Afif: Geometric Tweedie regression models for continuous and semicontinuous data with variation phenomenon (2020)
  14. Achim Zeileis, Susanne Köll, Nathaniel Graham: Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (2020) not zbMATH
  15. Akkanphudit, Thanasate; Bodhisuwan, Winai; Lao, Mena; Volodin, A.: The Topp-Leone discrete Laplace distribution and its applications (2020)
  16. Alan V. Di Vittorio , Chris R. Vernon, Shijie Shu: Moirai Version 3: A Data Processing System to Generate Recent Historical Land Inputs for Global Modeling Applications at Various Scales (2020) not zbMATH
  17. Albert, Jim; Hu, Jingchen: Probability and Bayesian modeling (2020)
  18. Alcobaça, Edesio; Siqueira, Felipe; Rivolli, Adriano; Garcia, Luís P. F.; Oliva, Jefferson T.; de Carvalho, André C. P. L. F.: MFE: towards reproducible meta-feature extraction (2020)
  19. Al-Gounmeein, Remal Shaher; Ismail, Mohd Tahir: Forecasting the exchange rate of the Jordanian dinar versus the US dollar using a Box-Jenkins seasonal ARIMA model (2020)
  20. Allouti, Chahira; Barache, Bahia; Dahmani, Abdelnasser: Exponential inequalities for Mann’s stochastic algorithm (2020)

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