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 550 articles , 1 standard article )

Showing results 1 to 20 of 550.
Sorted by year (citations)

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  1. Anders Granholm, Aksel Karl Georg Jensen, Theis Lange, Benjamin Skov Kaas-Hansen: adaptr: an R package for simulating and comparing adaptive clinical trials (2022) not zbMATH
  2. Azaïs, R.; Ferrigno, S.; Martinez, M.-J.: cvmgof: an R package for Cramér-von Mises goodness-of-fit tests in regression models (2022)
  3. Dan Kelley, Clark Richards, Chantelle Layton: oce: an R package for Oceanographic Analysis (2022) not zbMATH
  4. Dustin Stoltz, Marshall Taylor: text2map: R Tools for Text Matrices (2022) not zbMATH
  5. Jie Zhou, Jiajia Zhang, Wenbin Lu: TransModel: An R Package for Linear Transformation Model with Censored Data (2022) not zbMATH
  6. Jun Woo, Jinhua Wang: bbl: Boltzmann Bayes Learner for High-Dimensional Inference with Discrete Predictors in R (2022) not zbMATH
  7. Kapelner, Adam; Krieger, Abba M.; Sklar, Michael; Azriel, David: Optimal rerandomization designs via a criterion that provides insurance against failed experiments (2022)
  8. Karimnezhad, Ali: A simple yet efficient method of local false discovery rate estimation designed for genome-wide association data analysis (2022)
  9. Korkas, Karolos K.: Ensemble binary segmentation for irregularly spaced data with change-points (2022)
  10. Marc Yves Romain Henrion: Relaxation of the parameter independence assumption in the ’bootComb’ R package (2022) arXiv
  11. Akalin, Altuna: Computational genomics with R. With the assistance of Verdan Franke, Bora Uyar and Jonathan Ronen (2021)
  12. Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel: Statistical Network Analysis with Bergm (2021) arXiv
  13. Alexander Meier, Claudia Kirch, Haeran Cho: mosum: A Package for Moving Sums in Change-Point Analysis (2021) not zbMATH
  14. Andreas Hill, Alexander Massey, Daniel Mandallaz: The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories (2021) not zbMATH
  15. 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
  16. Auder, Benjamin; Gassiat, Elisabeth; Loum, Mor Absa: Least squares moment identification of binary regression mixture models (2021)
  17. Bénard, Clément; Biau, Gérard; Da Veiga, Sébastien; Scornet, Erwan: SIRUS: stable and interpretable RUle set for classification (2021)
  18. Bokhari, Mohammad Ubaidullah; Adhami, Mohd. Kashif; Ahmad, Afaq: Evaluation of news search engines based on information retrieval models (2021)
  19. Cascos, Ignacio; Ochoa, Maicol: Expectile depth: theory and computation for bivariate datasets (2021)
  20. Chao, Fengqing; Gerland, Patrick; Cook, Alex R.; Alkema, Leontine: Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model (2021)

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