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 408 articles )

Showing results 1 to 20 of 408.
Sorted by year (citations)

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  1. Bradley C. Saul, Michael G. Hudgens: The Calculus of M-Estimation in R with geex (2020) not zbMATH
  2. Chainarong Amornbunchornvej: mFLICA: An R package for Inferring Leadership of Coordination From Time Series (2020) arXiv
  3. David B. Dahl: Integration of R and Scala Using rscala (2020) not zbMATH
  4. Ducharme, Gilles R.; Lafaye de Micheaux, Pierre: A goodness-of-fit test for elliptical distributions with diagnostic capabilities (2020)
  5. Fabrizi, Enrico; Salvati, Nicola; Trivisano, Carlo: Robust Bayesian small area estimation based on quantile regression (2020)
  6. F. Aragón-Royón, A. Jiménez-Vílchez, A. Arauzo-Azofra, J. M. Benítez: FSinR: an exhaustive package for feature selection (2020) arXiv
  7. Felipe Campelo, Lucas Batista, Claus Aranha: The MOEADr Package: A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition (2020) not zbMATH
  8. Gaigall, Daniel: Testing marginal homogeneity of a continuous bivariate distribution with possibly incomplete paired data (2020)
  9. Gero Szepannek: An Overview on the Landscape of R Packages for Credit Scoring (2020) arXiv
  10. Hu, Chaoran; Pozdnyakov, Vladimir; Yan, Jun: Density and distribution evaluation for convolution of independent gamma variables (2020)
  11. Imani, Mahdi; Dougherty, Edward R.; Braga-Neto, Ulisses: Boolean Kalman filter and smoother under model uncertainty (2020)
  12. Kisung You, Changhee Suh: Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation (2020) arXiv
  13. Maria Xose Rodriguez-Alvarez, Vanda Inacio: ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information (2020) arXiv
  14. Nasri, Bouchra R.; Rémillard, Bruno N.; Thioub, Mamadou Y.: Goodness-of-fit for regime-switching copula models with application to option pricing (2020)
  15. Nguyen, Quynh Nga; Aboura, Sofiane; Chevallier, Julien; Zhang, Lyuyuan; Zhu, Bangzhu: Local Gaussian correlations in financial and commodity markets (2020)
  16. Qian, George; Mahdi, Adam: Sensitivity analysis methods in the biomedical sciences (2020)
  17. Rachael C. Aikens, Joseph Rigdon, Justin Lee, Michael Baiocchi, Jonathan Chen: Stratified Pilot Matching in R: The stratamatch Package (2020) arXiv
  18. Renato Valladares Panaro: spsurv: An R package for semi-parametric survival analysis (2020) arXiv
  19. Torben Tvedebrink, James Curran, Mikkel Meyer Andersen: DNAtools: Tools for Analysing Forensic Genetic DNA Data (2020) not zbMATH
  20. Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH

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