activity
20142023
most citedmlpack 4: a fast, header-only C++ machine learning library

30 citations · 56 across the 9 of their papers we have counts for

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7 papers · 1 filter

stat.CO2023★ 2 cited

CRAN Task Views: The Next Generation

Achim Zeileis, Roger Bivand, Dirk Eddelbuettel +2

CRAN Task Views have been available on the Comprehensive R Archive Network since 2005. They provide guidance about which CRAN packages are relevant for tasks related to a certain t…

stat.CO2022

Redis for Market Monitoring

Dirk Eddelbuettel

This note shows how to use Redis cache (near-)real-time market data, and utilise its publish/subscribe ("pub/sub") facility to distribute the data.

stat.CO2022★ 7 cited

A Brief Introduction to Redis

Dirk Eddelbuettel

This note provides a brief introduction to Redis highlighting its usefulness in multi-lingual statistical computing.

stat.CO2021

Binary R Packages for Linux: Past, Present and Future

Iñaki Ucar, Dirk Eddelbuettel

Pre-compiled binary packages provide a convenient way of efficiently distributing software that has been adopted by most Linux package management systems. However, the heterogeneit…

stat.CO2019

Parallel Computing With R: A Brief Review

Dirk Eddelbuettel

Parallel computing has established itself as another standard method for applied research and data analysis. The R system, being internally constrained to mostly singly-threaded op…

stat.CO2019

Thirteen Simple Steps for Creating An R Package with an External C++ Library

Dirk Eddelbuettel

We desribe how we extend R with an external C++ code library by using the Rcpp package. Our working example uses the recent machine learning library and application 'Corels' provid…

stat.CO2014★ 5 cited

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…