2024

Polly: An R package for genotyping microsatellites and detecting highly polymorphic DNA markers from short-read data (with Annabel Perry, Gil Rosenthal, and Heath Blackmon)
Molecular Ecology Resources, Feb 2024
DOI 10.1111/1755-0998.13933

2023

CRAN Task Views: The Next Generation (with Achim Zeileis, Roger Bivand, Kurt Hornik, and Natalie Vialaneix)
arXiv:2305:17573, May 2023
DOI 10.48550/arXiv.2305.17573

Creating Algorithmically Generated Questions Using a Modern, Open-Sourced, Online Platform: PrairieLearn (with Firas Moosvi, Craig Zilles, Steven A. Wolfram, Fraida Fund, Laura K. Alford, and Jonatan Schroeder)
SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Comptuer Science Education, Volume 2, Issue 5026, March 2023
DOI 10.1145/3545947.3569634

mlpack 4: a fast, header-only C++ machine learning library (with Ryan R. Curtin as lead author and several others)
Journal of Open Source Software, Volume 8(82), Issue 5026, February 2023
DOI 10.21105/joss.05026
PDF version

2022

Redis for Market Monitoring
arXiv:2203.08323, March 2022
PDF version

A Brief Introduction to Redis
arXiv:2203.06559, March 2022
PDF version

2021

Binary R Packages for Linux: Past, Present and Future (with IƱaki Ucar)
arXiv:2103.08069, March 2021
PDF version

Parallel Computing with R: A brief review
WIREs Computational Statistics, 2021, Volume 13, Issue 2
DOI 10.1002/wics.1515

2020

Assessing United States Country-Level Exposure for Research on Tropical Cyclones and Human Health (with G. Brooke Anderson as lead author and others)
Environmental Health Perspectives, 2020, Vol 128, No 8
DOI 10.1289/EHP6976, PDF version

The Rockerverse: Packages and Applications for Containerization with R (with Daniel Nuest as lead author and many others)
R Journal, Volume 12, Number 1, 2020
DOI 10.32614/RJ-2020-007, PDF version

An R Autograder for PrairieLearn (with Alton Barbehenn)
arXiv:2003.06500, March 2020
PDF version

The Rockerverse: Packages and Applications for Containerization with R (with Daniel Nuest as lead author and many others)
arXiv:2001.10641, January 2020
PDF version

2019

Parallel Computing With R: A Brief Review
arXiv:1912.11144, December 2019
PDF version

Thirteen Simple Steps for Creating An R Package with an External C++ Library
arXiv:1911.06416, November 2019
PDF version

2018

Seasonal Adjustment by X-13ARIMA-SEATS in R (with Christoph Sax)
Journal of Statistical Software, Volume 87, Issue 11, December 2018
DOI 10.18637/jss.v087.i11

RcppMsgPack: MessagePack Headers and Interface Functions for R (with Travers Ching)
The R Journal, Volume 10, Issue 2, December 2018
DOI 10.32614/RJ-2018-068, PDF version

NORMAN MATLOFF. Parallel Computing for Data Science: With Examples in R, C++, and CUDA. Boca Raton: CRC Press. (Book review)
Biometrics, Volume 72, Issue 2, Pages 769-778, 2018
DOI 10.1111/biom.12896

Extending R with C++: A Brief Introduction to Rcpp (with James Balamuta)
The American Statistician, Volume 72, Issue 1, Pages 28-36, 2018
DOI 10.1080/00031305.2017.1375990

2017

An Introduction to Rocker: Docker Containers for R (with Carl Boettiger)
The R Journal, Volume 9, Issue 2, December 2017
DOI 10.32614/RJ-2017-065, PDF version

Extending R with C++: A Brief Introduction to Rcpp (with James Balamuta)
PeerJ Preprints, Volume 5, Issue 3188v1, August 2017
PDF version

Hosting Data Packages via drat: A Case Study with Hurricane Exposure Data (with Brooke Anderson)
The R Journal, Volume 9, Issue 1, Pages 486-497, June 2017
DOI 10.32614/RJ-2017-026, PDF version

2016

RcppCNPy: Read-Write Support for NumPy Files in R (with Wush Wu)
Journal of Open Source Software, Volume 1, Issue 5, September 2016
DOI 10.21105/joss.00055

RProtoBuf: Efficient Cross-Language Data Serialization in R (with Murray Stokely and Jeroen Ooms)
Journal of Statistical Software, Volume 71, Issue 2, July 2016
DOI 10.18637/jss.v071.i02

2014

RcppArmadillo: Accelerating R with high-performance C++ linear algebra (with Conrad Sanderson)
Computational Statistics & Data Analysis, Volume 71, March 2014, Pages 1054-1063.
DOI 10.1016/j.csda.2013.02.005.
Pre-print also available as a vignette in R package RcppArmadillo. Local copy of pre-print (~178 kBytes)

2013

Seamless R and C++ Integration with Rcpp
UseR! Series, Springer, June 2013, 220 pages.
Soft-cover version (ISBN 978-1-4614-6867-7) and e-book (ISBN 978-1-4614-6868-4).
Springer page, and Rcpp site page

Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package (with Douglas Bates)
Journal of Statistical Software, Volume 52, Issue 5, February 2013
Journal page with paper; Local copy of associated package (~337 kBytes)

2012

Review of R for Dummies by A. De Vries and J. Meys
Journal of Statistical Software, Vol 50, Book Review 1, August 2012.
Local copy of pre-print (~176 kBytes)

Review of R in Action by R. Kabacoff
Journal of Statistical Software, Vol 46, Book Review 2, February 2012.
Local copy of pre-print (~167 kBytes)

2011

Rcpp: Seamless R and C++ Integration (with Romain Francois)
Journal of Statistical Software, Volume 40, Issue 8, April 2011
Journal page with paper; Local copy of vignette (~350 kBytes)

Review of R in a Nutshell by J. Adler
Journal of Statistical Software, Vol 40, Book Review 1, April 2011.
Local copy of pre-print (~207 kBytes)

2009

Review of Computational Statistics: An Introduction to R by G. Sawitzki
Journal of Statistical Software, Vol 32, Book Review 2, Dec 2009.
Local copy of pre-print (~114 kBytes)

State-of-the-art in Parallel Computing with R (with Markus Schmidberger [lead author], Martin Morgan, Hao Yu, Luke Tierney and Ulrich Mansmann)
Journal of Statistical Software, Volume 31, Issue 1, August 2009
Journal page with paper; Local copy of pre-print (~525 kBytes)

Review of Analysis of Integrated and Cointegrated Time Series with R (2nd ed) by B. Pfaff
Journal of Statistical Software, Vol 30, Book Review 5, Apr 2009.
Local copy of pre-print (~112 kBytes)

Review of Applied Econometrics with R by C. Kleiber and A. Zeileis
Journal of Statistical Software, Vol 29, Book Review 14, Feb 2009.
Local copy of pre-print (~136 kBytes)

State-of-the-art in Parallel Computing with R (with Markus Schmidberger [lead author], Martin Morgan, Hao Yu, Luke Tierney and Ulrich Mansmann)
Ludwig-Maximilians Univ Munich, Dept of Statistics, Technical Report No 47, Jan 2009
Local copy of Technical Report (~525 kBytes)

2005

Quantian: A Comprehensive Statistical Computing Environment (with Chris Lawrence)
The Political Methodologist, Volume 13, Number 2, Fall 2005
Final version (~100 kBytes)

2003

Quantian: A Scientific Computing Environment
K. Hornik, F. Leisch and A. Zeileis (eds.), Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003), ISSN 1609-395X, March 2003.
Revised version, accepted for publication (~215 kBytes)

Review of 'Modeling Financial Time Series with S-Plus' by Eric Zivot and Jiahui Wang.
Short Book Reviews, International Statistics Institute. Dec. 2003.
Review (~44 kByte)

2000

Econometrics with Octave
Journal of Applied Econometrics, Vol. 15, No. 5, pp. 531-542, December 2000.
PDF version of final draft (~250 kBytes)

1999

Display and Interactive Languages for the Internet: HTML, PDF, and Java (with William L. Goffe)
Computational Economics, Vol. 14, No. 1, pp. 89-107, October 1999.
Postscript version of paper for US letter paper (315 kBytes)

1997

A Code Archive for Economics and Econometrics
Computational Economics, Vol. 10, No. 4, pp 353-357, November 1997.
Postscript version of paper for US letter paper (96 kBytes)

1996

Object-Oriented Econometrics: Matrix Programming in C++ using GCC and Newmat
Journal of Applied Econometrics, Vol. 11, No. 2, pp 199-209, March 1996.
gzipped Postscript version of article (46 kBytes)

Last modified: Thu Mar 14 07:37:18 CDT 2024