The hhi Package: Streamlined Calculation and Visualization of Herfindahl-Hirschman Index Scores. - Philip D. Waggoner (J. Open Source Softw., 2018)

insight: A Unified Interface to Access Information from Model Objects in R. - Daniel Lüdecke; Philip D. Waggoner; Dominique Makowski (J. Open Source Softw., 2019)

Detecting Fraud in Online Surveys by Tracing, Scoring, and Visualizing IP Addresses. - Philip D. Waggoner; Ryan Kennedy; Scott Clifford (J. Open Source Softw., 2019)

Pandemic Policymaking: Learning the Lower Dimensional Manifold of Congressional Responsiveness. - Philip D. Waggoner (CoRR, 2020)

Modern Dimension Reduction. - Philip D. Waggoner (CoRR, 2021)

performance: An R Package for Assessment, Comparison and Testing of Statistical Models. - Daniel Lüdecke; Mattan S. Ben-Shachar; Indrajeet Patil; Philip D. Waggoner; Dominique Makowski (J. Open Source Softw., 2021)

see: An R Package for Visualizing Statistical Models. - Daniel Lüdecke; Indrajeet Patil; Mattan S. Ben-Shachar; Brenton M. Wiernik; Philip D. Waggoner; Dominique Makowski (J. Open Source Softw., 2021)

Applying dimension reduction in modern data science and quantitative analysis. - Philip D. Waggoner (Softw. Impacts, 2021)

Pandemic Policymaking. - Philip D. Waggoner (J. Soc. Comput., 2021)

Uncovering the Online Social Structure Surrounding COVID-19. - Philip D. Waggoner; Robert Y. Shapiro; Samuel Frederick; Ming Gong (J. Soc. Comput., 2021)

Pursuing open-source development of predictive algorithms: the case of criminal sentencing algorithms. - Philip D. Waggoner; Alec Macmillen (J. Comput. Soc. Sci., 2022)

A batch process for high dimensional imputation. - Philip D. Waggoner (Comput. Stat., 2024)

Subjective Experience in AI Systems: What Do AI Researchers and the Public Believe? - Noemi Dreksler; Lucius Caviola; David Chalmers; Carter Allen; Alex Rand; Joshua Lewis; Philip D. Waggoner; Kate K. Mays; Jeff Sebo (CoRR, 2025)