Prospects and Challenges in R Package Development

Theußl, Stefan and Ligges, Uwe and Hornik, Kurt ORCID: (2010) Prospects and Challenges in R Package Development. Research Report Series / Department of Statistics and Mathematics, 102. Institute for Statistics and Mathematics, WU Vienna University of Economics and Business, Vienna.


Download (463kB)


R, a software package for statistical computing and graphics, has evolved into the lingua franca of (computational) statistics. One of the cornerstones of R's success is the decentralized and modularized way of creating software using a multi-tiered development model: The R Development Core Team provides the "base system", which delivers basic statistical functionality, and many other developers contribute code in the form of extensions in a standardized format via so-called packages. In order to be accessible by a broader audience, packages are made available via standardized source code repositories. To support such a loosely coupled development model, repositories should be able to verify that the provided packages meet certain formal quality criteria and "work": both relative to the development of the base R system as well as with other packages (interoperability). However, established quality assurance systems and collaborative infrastructures typically face several challenges, some of which we will discuss in this paper.

Item Type: Paper
Keywords: R / package development / quality assurance / resolving dependency structures
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Depositing User: Repository Administrator
Date Deposited: 27 Jul 2010 14:42
Last Modified: 24 Oct 2019 13:41


View Item View Item


Downloads per month over past year

View more statistics