183 citations · 235 across the 3 of their papers we have counts for
5 papers
The OpenCPU System: Towards a Universal Interface for Scientific Computing through Separation of Concerns
Jeroen Ooms
Applications integrating analysis components require a programmable interface which defines statistical operations independently of any programming language. By separating concerns…
The jsonlite Package: A Practical and Consistent Mapping Between JSON Data and R Objects
Jeroen Ooms
A naive realization of JSON data in R maps JSON arrays to an unnamed list, and JSON objects to a named list. However, in practice a list is an awkward, inefficient type to store an…
RProtoBuf: Efficient Cross-Language Data Serialization in R
Dirk Eddelbuettel, Murray Stokely, Jeroen Ooms
Modern data collection and analysis pipelines often involve a sophisticated mix of applications written in general purpose and specialized programming languages. Many formats commo…
The RAppArmor Package: Enforcing Security Policies in R Using Dynamic Sandboxing on Linux
Jeroen Ooms
The increasing availability of cloud computing and scientific super computers brings great potential for making R accessible through public or shared resources. This allows us to e…
Possible Directions for Improving Dependency Versioning in R
Jeroen Ooms
One of the most powerful features of R is its infrastructure for contributed code. The built-in package manager and complementary repositories provide a great system for developmen…