I am an applied statistician and data scientist whose scholarly activities include incorporating realistic computation and visualization into the classroom, developing better visualizations to explore complex models, and R package development.
Loy, A. and Korobova, J. (2023). Bootstrapping Clustered Data in R Using lmeresampler. The R Journal 14(4).
Loy, A. (2021). Bringing Visual Inference to the Classroom. Journal of Statistics and Data Science Education 29(2).
Maurer, K., Osthus, D., and Loy, A. (2019). A Tale of Four Cities: Exploring the Soul of State College, Detroit, Milledgeville, and Biloxi. Computational Statistics 34(4).
Loy, A., Kuiper, S., and Chihara, L. (2019). Supporting Data Science in the Statistics Curriculum. Journal of Statistics Education 27(1).
Almeida, A., Loy, A., and Hofmann, H. (2018). ggplot2 Compatible Quantile-Quantile Plots in R. The R Journal 10(2).
Loy, A., Hofmann, H., and Cook, D. (2017). Model Choice and Diagnostics for Linear Mixed-Effects Models Using Statistics on Street Corners. Journal of Computational and Graphical Statistics 26(3), 478– 492.
Loy, A., Follett, L., and Hofmann, H. (2016). Variations of Q-Q Plots—The Power of our Eyes! The American Statistician 70(2), 202–214.
Loy, A. and Hofmann, H. (2015). Are You Normal? The Problem of Confounded Residual Structures in Hierarchical Linear Models. Journal of Computational and Graphical Statistics 24(4), 1191–1209.
Wright Morton, L., Hobbs, J., Arbuckle, J. G., Jr., and Loy, A. (2015). Upper Midwest Climate Variations: Farmer Responses to Excess Water Risks. Journal of Environmental Quality 44(3), 1191–1209.
Arbuckle, J. G., Jr., Hobbs, J., Loy, A., Wright Morton, L., Prokopy, L. S., and Tyndall, J. (2014). Under- standing Corn Belt Farmer Perspectives on Climate Change to Inform Engagement Strategies for Adaptation and Mitigation. Journal of Soil and Water Conservation 69(6), 505–516.
Loy, A. and Hofmann, H. (2014). HLMdiag: A Suite of Diagnostics for Hierarchical Linear Models in R. Journal of Statistical Software 56(5), 1–28.
Arbuckle, J. G., Jr., Prokopy, L. S., Haigh, T., Hobbs, J., Knoot, T., Knutson, C., Loy, A., Mase, A. S., McGuire, J., Wright Morton, L., Tyndall, J., and Widhalm, M. (2013). Climate Change Beliefs, Concerns, and Attitudes toward Adaptation and Mitigation among Farmers in the Midwestern United States. Climatic Change 117(4), 943–950.
Loy, A. and Hofmann, H. (2013). Diagnostic Tools for Hierarchical Linear Models. Wiley Interdisciplinary Reviews: Computational Statistics 5(1), 48–61.
Hofmann, H., Cook, D., Kielion, C., Schloerke, B., Hobbs, J., Loy, A., Mosley, L., Rockoff, D., Huang, Y., Wrolstad, D., and Yin, T. (2011). Delayed, Canceled, On Time, Boarding . . . Flying in the USA. Journal of Computational and Graphical Statistics 20(2), 287–290.
Adam Loy, Jaylin Lowe, Jack Moran. HLMdiag: Diagnostic Tools for Hierarchical (Multilevel) Linear Models. R package version 0.5.0.
Adam Loy, Jenna Korobova, Spenser Steele. lmeresampler: Bootstrap Methods for Nested Linear Mixed-Effects Models. R package version 0.2.0.
Alexandre Almeida, Adam Loy, Heike Hofmann. qplotr: Quantile-Quantile Plot Extensions for ggplot2. R package version 0.0.5.