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


References in zbMATH (referenced in 385 articles )

Showing results 1 to 20 of 385.
Sorted by year (citations)

1 2 3 ... 18 19 20 next

  1. F. Aragón-Royón, A. Jiménez-Vílchez, A. Arauzo-Azofra, J. M. Benítez: FSinR: an exhaustive package for feature selection (2020) arXiv
  2. Imani, Mahdi; Dougherty, Edward R.; Braga-Neto, Ulisses: Boolean Kalman filter and smoother under model uncertainty (2020)
  3. Rachael C. Aikens, Joseph Rigdon, Justin Lee, Michael Baiocchi, Jonathan Chen: Stratified Pilot Matching in R: The stratamatch Package (2020) arXiv
  4. Torben Tvedebrink, James Curran, Mikkel Meyer Andersen: DNAtools: Tools for Analysing Forensic Genetic DNA Data (2020) not zbMATH
  5. Adam, Timo; Langrock, Roland; Weiß, Christian H.: Penalized estimation of flexible hidden Markov models for time series of counts (2019)
  6. Allévius, Benjamin; Höhle, Michael: An unconditional space-time scan statistic for ZIP-distributed data (2019)
  7. Amalan Mahendran; Pushpakanthie Wijekoon: fitODBOD: An R Package to Model Binomial Outcome Data using Binomial Mixture and Alternate Binomial Distributions (2019) not zbMATH
  8. Andreas Anastasiou, Piotr Fryzlewicz: Detecting multiple generalized change-points by isolating single ones (2019) arXiv
  9. Angela Bitto-Nemling, Annalisa Cadonna, Sylvia Frühwirth-Schnatter, Peter Knaus: Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP (2019) arXiv
  10. Athey, Susan; Tibshirani, Julie; Wager, Stefan: Generalized random forests (2019)
  11. Balabdaoui, Fadoua; Groeneboom, Piet; Hendrickx, Kim: Score estimation in the monotone single-index model (2019)
  12. Belkić, Dževad: All the trinomial roots, their powers and logarithms from the Lambert series, Bell polynomials and Fox-Wright function: illustration for genome multiplicity in survival of irradiated cells (2019)
  13. Blondeau Da Silva, Stephane: BeyondBenford: An R Package to Determine Which of Benford’s or BDS’s Distributions is the Most Relevant (2019) arXiv
  14. Chatterjee, Snigdhansu: The scale enhanced wild bootstrap method for evaluating climate models using wavelets (2019)
  15. Chiu, Chia-Yi; Köhn, Hans-Friedrich: Consistency theory for the general nonparametric classification method (2019)
  16. Christophe Ambroise, Alia Dehman, Pierre Neuvial, Guillem Rigaill, Nathalie Vialaneix: Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics (2019) arXiv
  17. Collilieux, Xavier; Lebarbier, Emilie; Robin, Stéphane: A factor model approach for the joint segmentation with between-series correlation (2019)
  18. Diggle, Peter J.; Giorgi, Emanuele: Model-based geostatistics for global public health. Methods and applications (2019)
  19. Emmanuel Caron, Jérôme Dedecker, Michel Bertrand: Linear regression with stationary errors : the R package slm (2019) arXiv
  20. Fop, Michael; Murphy, Thomas Brendan; Scrucca, Luca: Model-based clustering with sparse covariance matrices (2019)

1 2 3 ... 18 19 20 next


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