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 473 articles , 1 standard article )
Showing results 1 to 20 of 473.
Sorted by year (- Andreas Hill, Alexander Massey, Daniel Mandallaz: The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories (2021) not zbMATH
- Bénard, Clément; Biau, Gérard; Da Veiga, Sébastien; Scornet, Erwan: SIRUS: stable and interpretable RUle set for classification (2021)
- 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
- Michael C. Thrun, Quirin Stier: Fundamental clustering algorithms suite (2021) not zbMATH
- Valeria Policastro, Dario Righelli, Annamaria Carissimo, Luisa Cutillo, Italia De Feis: ROBustness In Network (robin): an R package for Comparison and Validation of communities (2021) arXiv
- Annarosa Quarello, Olivier Bock, Emilie Lebarbier: A new segmentation method for the homogenisation of GNSS-derived IWV time-series (2020) arXiv
- Bajalinov, E.; Duleba, Sz.: Seasonal time series forecasting by the Walsh-transformation based technique (2020)
- Bangyao Zhao, Lili Zhao: Data Mining in Large Frequency Tables With Ontology, with an Application to the Vaccine Adverse Event Reporting System (2020) arXiv
- Benjamin G. Stokell, Rajen D. Shah, Ryan J. Tibshirani: Modelling High-Dimensional Categorical Data Using Nonconvex Fusion Penalties (2020) arXiv
- Bob Obenchain: Ridge TRACE Diagnostics (2020) arXiv
- Bradley C. Saul, Michael G. Hudgens: The Calculus of M-Estimation in R with geex (2020) not zbMATH
- Calissano, Anna; Vantini, Simone; Arena, Marika: Monitoring rare categories in sentiment and opinion analysis: a Milan mega event on Twitter platform (2020)
- Cappozzo, Andrea; Greselin, Francesca; Murphy, Thomas Brendan: A robust approach to model-based classification based on trimming and constraints. Semi-supervised learning in presence of outliers and label noise (2020)
- Chainarong Amornbunchornvej: mFLICA: An R package for Inferring Leadership of Coordination From Time Series (2020) arXiv
- Chakraborty, Saptarshi; Paul, Debolina; Das, Swagatam: Hierarchical clustering with optimal transport (2020)
- Cheng, Dan; He, Zhibing; Schwartzman, Armin: Multiple testing of local extrema for detection of change points (2020)
- David B. Dahl: Integration of R and Scala Using rscala (2020) not zbMATH
- de Castro, Mário; Gómez, Yolanda M.: A Bayesian cure rate model based on the power piecewise exponential distribution (2020)
- Ducharme, Gilles R.; Lafaye de Micheaux, Pierre: A goodness-of-fit test for elliptical distributions with diagnostic capabilities (2020)
- Fabrizi, Enrico; Salvati, Nicola; Trivisano, Carlo: Robust Bayesian small area estimation based on quantile regression (2020)
Further publications can be found at: http://journal.r-project.org/