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 513 articles , 1 standard article )

Showing results 1 to 20 of 513.
Sorted by year (citations)

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  1. Akalin, Altuna: Computational genomics with R. With the assistance of Verdan Franke, Bora Uyar and Jonathan Ronen (2021)
  2. Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel: Statistical Network Analysis with Bergm (2021) arXiv
  3. Alexander Meier, Claudia Kirch, Haeran Cho: mosum: A Package for Moving Sums in Change-Point Analysis (2021) not zbMATH
  4. Andreas Hill, Alexander Massey, Daniel Mandallaz: The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories (2021) not zbMATH
  5. Andrew Ying, Eric J. Tchetgen Tchetgen: A New Causal Approach to Account for Treatment Switching in Randomized Experiments under a Structural Cumulative Survival Model (2021) arXiv
  6. Auder, Benjamin; Gassiat, Elisabeth; Loum, Mor Absa: Least squares moment identification of binary regression mixture models (2021)
  7. Bénard, Clément; Biau, Gérard; Da Veiga, Sébastien; Scornet, Erwan: SIRUS: stable and interpretable RUle set for classification (2021)
  8. Bokhari, Mohammad Ubaidullah; Adhami, Mohd. Kashif; Ahmad, Afaq: Evaluation of news search engines based on information retrieval models (2021)
  9. Cascos, Ignacio; Ochoa, Maicol: Expectile depth: theory and computation for bivariate datasets (2021)
  10. 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
  11. De Luca, Giovanni; Zuccolotto, Paola: Regime dependent interconnectedness among fuzzy clusters of financial time series (2021)
  12. Ebner, Bruno: On combining the zero bias transform and the empirical characteristic function to test normality (2021)
  13. Galarza, Christian E.; Lin, Tsung-I; Wang, Wan-Lun; Lachos, Víctor H.: On moments of folded and truncated multivariate Student-t distributions based on recurrence relations (2021)
  14. Haddon, Malcolm: Using R for modelling and quantitative methods in fisheries (2021)
  15. Hintz, Erik; Hofert, Marius; Lemieux, Christiane: Normal variance mixtures: distribution, density and parameter estimation (2021)
  16. Hong Zhang, Qing Li, Devan V. Mehrotra, Judong Shen: CauchyCP: a powerful test under non-proportional hazards using Cauchy combination of change-point Cox regressions (2021) arXiv
  17. Imai, Kosuke; Jiang, Zhichao; Malani, Anup: Causal inference with interference and noncompliance in two-stage randomized experiments (2021)
  18. Jennifer Pohle, Timo Adam, Larissa T. Beumer: Flexible estimation of the state dwell-time distribution in hidden semi-Markov models (2021) arXiv
  19. Jorge Castillo-Mateo: Distribution-Free Changepoint Detection Tests Based on the Breaking of Records (2021) arXiv
  20. Kendal B. Foster, Henrik Singmann: Another Approximation of the First-Passage Time Densities for the Ratcliff Diffusion Decision Model (2021) arXiv

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