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

References in zbMATH (referenced in 104 articles )

Showing results 1 to 20 of 104.
Sorted by year (citations)

1 2 3 4 5 6 next

  1. Bernardi, Mauro; Catania, Leopoldo: Comparison of value-at-risk models using the MCS approach (2016)
  2. Biau, Gérard; Fischer, Aurélie; Guedj, Benjamin; Malley, James D.: COBRA: a combined regression strategy (2016)
  3. Blaser, Rico; Fryzlewicz, Piotr: Random rotation ensembles (2016)
  4. Braun, W. John; Murdoch, Duncan J.: A first course in statistical programming with R. (2016)
  5. Chambers, John M.: Extending R (2016)
  6. Chiu, Chia-Yi; Köhn, Hans-Friedrich: Consistency of cluster analysis for cognitive diagnosis: the reduced reparameterized unified model and the general diagnostic model (2016)
  7. Friendly, Michael; Meyer, David: Discrete data analysis with R. Visualization and modeling techniques for categorical and count data (2016)
  8. Gerhart, Christoph: A multiple-curve Lévy forward rate model in a two-price economy (2016)
  9. Latouche, Pierre; Mattei, Pierre-Alexandre; Bouveyron, Charles; Chiquet, Julien: Combining a relaxed EM algorithm with Occam’s razor for Bayesian variable selection in high-dimensional regression (2016)
  10. Moore, Dirk F.: Applied survival analysis using R (2016)
  11. Morey, Richard D.; Romeijn, Jan-Willem; Rouder, Jeffrey N.: The philosophy of Bayes factors and the quantification of statistical evidence (2016)
  12. Mulder, Joris (ed.); Wagenmakers, Eric-Jan (ed.): Editors’ introduction to the special issue ”bayes factors for testing hypotheses in psychological research: practical relevance and new developments” (2016)
  13. Perthame, Émeline; Friguet, Chloé; Causeur, David: Stability of feature selection in classification issues for high-dimensional correlated data (2016)
  14. Reulen, Holger; Kneib, Thomas: Boosting multi-state models (2016)
  15. Ruddy, Sean; Johnson, Marla; Purdom, Elizabeth: Shrinkage of dispersion parameters in the binomial family, with application to differential exon skipping (2016)
  16. Ugarte, María Dolores; Militino, Ana F.; Arnholt, Alan T.: Probability and statistics with R (2016)
  17. Vepakomma, Praneeth; Elgammal, Ahmed: A fast algorithm for manifold learning by posing it as a symmetric diagonally dominant linear system (2016)
  18. Zhou, Mai: Empirical likelihood method in survival analysis (2016)
  19. Bouveyron, Charles; C^ome, Etienne; Jacques, Julien: The discriminative functional mixture model for a comparative analysis of bike sharing systems (2015)
  20. Charpentier, Arthur (ed.): Computational actuarial science with R (2015)

1 2 3 4 5 6 next

Further publications can be found at: