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
Keywords for this software
References in zbMATH (referenced in 550 articles , 1 standard article )
Showing results 1 to 20 of 550.
Sorted by year (- 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
- Azaïs, R.; Ferrigno, S.; Martinez, M.-J.: cvmgof: an R package for Cramér-von Mises goodness-of-fit tests in regression models (2022)
- Dan Kelley, Clark Richards, Chantelle Layton: oce: an R package for Oceanographic Analysis (2022) not zbMATH
- Dustin Stoltz, Marshall Taylor: text2map: R Tools for Text Matrices (2022) not zbMATH
- Jie Zhou, Jiajia Zhang, Wenbin Lu: TransModel: An R Package for Linear Transformation Model with Censored Data (2022) not zbMATH
- Jun Woo, Jinhua Wang: bbl: Boltzmann Bayes Learner for High-Dimensional Inference with Discrete Predictors in R (2022) not zbMATH
- Kapelner, Adam; Krieger, Abba M.; Sklar, Michael; Azriel, David: Optimal rerandomization designs via a criterion that provides insurance against failed experiments (2022)
- Karimnezhad, Ali: A simple yet efficient method of local false discovery rate estimation designed for genome-wide association data analysis (2022)
- Korkas, Karolos K.: Ensemble binary segmentation for irregularly spaced data with change-points (2022)
- Marc Yves Romain Henrion: Relaxation of the parameter independence assumption in the ’bootComb’ R package (2022) arXiv
- Akalin, Altuna: Computational genomics with R. With the assistance of Verdan Franke, Bora Uyar and Jonathan Ronen (2021)
- Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel: Statistical Network Analysis with Bergm (2021) arXiv
- Alexander Meier, Claudia Kirch, Haeran Cho: mosum: A Package for Moving Sums in Change-Point Analysis (2021) not zbMATH
- Andreas Hill, Alexander Massey, Daniel Mandallaz: The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories (2021) not zbMATH
- 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
- Auder, Benjamin; Gassiat, Elisabeth; Loum, Mor Absa: Least squares moment identification of binary regression mixture models (2021)
- Bénard, Clément; Biau, Gérard; Da Veiga, Sébastien; Scornet, Erwan: SIRUS: stable and interpretable RUle set for classification (2021)
- Bokhari, Mohammad Ubaidullah; Adhami, Mohd. Kashif; Ahmad, Afaq: Evaluation of news search engines based on information retrieval models (2021)
- Cascos, Ignacio; Ochoa, Maicol: Expectile depth: theory and computation for bivariate datasets (2021)
- 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)
Further publications can be found at: http://journal.r-project.org/