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 502 articles , 1 standard article )

Showing results 1 to 20 of 502.
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. Cascos, Ignacio; Ochoa, Maicol: Expectile depth: theory and computation for bivariate datasets (2021)
  9. 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
  10. De Luca, Giovanni; Zuccolotto, Paola: Regime dependent interconnectedness among fuzzy clusters of financial time series (2021)
  11. Hintz, Erik; Hofert, Marius; Lemieux, Christiane: Normal variance mixtures: distribution, density and parameter estimation (2021)
  12. 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
  13. Imai, Kosuke; Jiang, Zhichao; Malani, Anup: Causal inference with interference and noncompliance in two-stage randomized experiments (2021)
  14. Jennifer Pohle, Timo Adam, Larissa T. Beumer: Flexible estimation of the state dwell-time distribution in hidden semi-Markov models (2021) arXiv
  15. Jorge Castillo-Mateo: Distribution-Free Changepoint Detection Tests Based on the Breaking of Records (2021) arXiv
  16. Kendal B. Foster, Henrik Singmann: Another Approximation of the First-Passage Time Densities for the Ratcliff Diffusion Decision Model (2021) arXiv
  17. Mads Lindskou, Søren Højsgaard, Poul Svante Eriksen, Torben Tvedebrink: sparta: Sparse Tables and their Algebra for use in High Dimensional Bayesian Networks (2021) arXiv
  18. Márcio A. Diniz, Gillian Gresham, Sungjim Kim, Michael Luu, N. Lynn Henry, Mourad Tighiouart, Greg Yothers, Patricia Ganz, André Rogatko: Visualizing adverse events using correspondence analysis (2021) arXiv
  19. Martin Ondrus, Emily Olds, Ivor Cribben: Factorized Binary Search: change point detection in the network structure of multivariate high-dimensional time series (2021) arXiv
  20. Michael C. Thrun, Quirin Stier: Fundamental clustering algorithms suite (2021) not zbMATH

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