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On the Development and Distribution of R Packages

An Empirical Analysis of the R Ecosystem
Authors: Alexandre Decan; Tom Mens; Maëlick Claes; Philippe Grosjean;

On the Development and Distribution of R Packages

Abstract

This paper explores the ecosystem of software packages for R, one of the most popular environments for statistical computing today. We empirically study how R packages are developed and distributed on different repositories: CRAN, BioConductor, R-Forge and GitHub. We also explore the role and size of each repository, the inter-repository dependencies, and how these repositories grow over time. With this analysis, we provide a deeper insight into the extent and the evolution of the R package ecosystem.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
16
Top 10%
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Top 10%
229
67