[''R"--project for statistical computing].

By R. Dessau, C. Pipper. Ugeskrift for læger, 2008

4,708 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f124796d1f379532685efd00cbc6933b55a895ed

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Citations in the corpus

Detecting the direction of causal time series (2009, methodology): “RProject (2009).”
The MADlib Analytics Library or MAD Skills, the SQL (2012, background): “The primary goal of the MADlib open-source project is to accelerate innovation and technology transfer in the Data Science community via a shared library of scalable in-database analytics, much as the CRAN library serves the R community [34].”
D³ Data-Driven Documents (2011, background): “Future work is needed in this area; a rich collection of statistical meth-ods, as in R [35], would be particularly valuable.”
SystemML: Declarative machine learning on MapReduce (2011, background): “DML is a declarative language whose syntax closely resembles the syntax of R(4) [16].”
An Analysis of the New York City Police Department's “Stop-and-Frisk” Policy in the Context of Claims of Racial Bias (2007, methodology): “Computations were easily performed using the Bayesian software BUGS (Spiegelhalter, Thomas, Best, Gilks, and Lunn 1994, 2003), which implements Markov chain Monte Carlo simulation from R (R Project 2000; Sturtz, Ligges, and Gelman 2005).”
Analysing Transportation Data with Open Source Big Data Analytic Tools (2017, background): “Popular machine learning toolkits such as R [9] or Weka [10] were not built for these kinds of workloads.”
Learning your identity and disease from research papers: information leaks in genome wide association study (2009, methodology): “Biocomputing tools such as R [10] use maximum likelihood methods to compute pair-wise allele frequencies directly from genotypes.”