Contact Information
M/C 374
Champaign, IL 61820
Education
PhD, EHESS, France, 1997
MA, EHESS, France, 1992
MSc, Karlsruhe, Germany, 1992
Courses Taught
STAT447 Data Science Programming Methods (since 2021)
STAT430 Data Science Programming Methods (2018-2020)
External Links
Highlighted Publications
Books
Eddelbuettel, Dirk. Seamless R and C++ Integration with Rcpp. New York: Springer-Verlag, 2013.
Journal Articles
Eddelbuettel, Dirk. "Parallel Computing with R: A brief Review." WIREs Computational Statistics, 2021, 13:1. DOI.
Anderson, G. Brooke et al. "Assessing United States Country-Level Exposure for Research on Tropical Cyclones and Human Health", Environmental Health Perspectives, 2020, 128:10. DOI.
Nuest, Daniel _et al_. "The Rockerverse: Packages and Applications for Containerization with R", R Journal, 2020, 12:1. DOI.
Sax, Christoph, and Dirk Eddelbuettel. "Seasonal Adjustment by X-13ARIMA-SEATS in R." Journal of Statistical Software, vol. 87, no. 11, 2018. DOI.
Ching, Travers, and Dirk Eddelbuettel. "RcppMsgPack: MessagePack Headers and Interface Functions for R." R Journal, vol. 10 2 2018. DOI.
Eddelbuettel, Dirk, and James Joseph Balamuta. "Extending R with C++: A Brief Introduction to Rcpp." The American Statistician, vol. 72, no. 1, 2018. DOI.
Eddelbuettel, Dirk. "Review of Norman Matloff 'Parallel Computing for Data Science: With Examples in R, C++, and CUDA', CRC Press." Biometrics, vol. 72, no. 2, 2018, p. 769-778. DOI.
Boettiger, Carl, and Dirk Eddelbuettel. "An Introduction to Rocker: Docker Containers for R." The R Journal, vol. 9, no. 2, 2017, p. 527-536. DOI.
Anderson, G. Brooke, and Dirk Eddelbuettel. "Hosting Data Package via drat: A Case Study with Hurricane Exposure Data." The R Journal, vol. 9, no. 1, 2017, p. 486-497. DOI.
Eddelbuettel, Dirk, and Wush Wu. "RcppCNPy: Read-Write Support for NumPy Files in R." The Journal of Open Source Software, vol. 1(5), no. 55, 2016. DOI.
Eddelbuettel, Dirk, Murray Stokely, and Jeroen Ooms. "RProtoBuf: Efficient Cross-Language Data Serialization in R." Journal of Statistical Software, vol. 71, no. 2, 2016. DOI.
Eddelbuettel, Dirk, and Conrad Sanderson. "RcppArmadillo: Accelerating R with high-performance C++ linear algebra." Computational Statistics & Data Analysis, vol. 71, March, 2014, p. 1054-1063. DOI.
Bates, Douglas, and Dirk Eddelbuettel. "Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package." Journal of Statistical Software, vol. 52, no. 5, 2013. DOI.
Eddelbuettel, Dirk, and Romain Francois. "Rcpp: Seamless R and C++ Integration." Journal of Statistical Software, vol. 40, no. 8, 2011. DOI.
Schmidberger, Markus, Martin Morgan, Dirk Eddelbuettel, Hao Yu, Luke Tierney, and Ulrich Mansmann. "State of the Art in Parallel Computing with R." Journal of Statistical Software, vol. 31, no. 1, 2009. DOI.