| Climate change beliefs, concerns, and attitudes toward adaptation and mitigation among farmers in the Midwestern United States JG Arbuckle, LS Prokopy, T Haigh, J Hobbs, T Knoot, C Knutson, A Loy, ... Climatic change 117, 943-950, 2013 | 363 | 2013 |
| Variations of Q–Q Plots: The Power of Our Eyes! A Loy, L Follett, H Hofmann The American Statistician 70 (2), 202-214, 2016 | 97 | 2016 |
| Understanding Corn Belt farmer perspectives on climate change to inform engagement strategies for adaptation and mitigation JG Arbuckle, J Hobbs, A Loy, LW Morton, LS Prokopy, J Tyndall Journal of Soil and Water Conservation 69 (6), 505-516, 2014 | 97 | 2014 |
| Upper Midwest climate variations: Farmer responses to excess water risks LW Morton, J Hobbs, JG Arbuckle, A Loy Journal of environmental quality 44 (3), 810-822, 2015 | 89 | 2015 |
| HLMdiag: A Suite of Diagnostics for Hierarchical Linear Models in R A Loy, H Hofmann Journal of Statistical Software 56 (5), 1-28, 2014 | 71 | 2014 |
| Model choice and diagnostics for linear mixed-effects models using statistics on street corners A Loy, H Hofmann, D Cook Journal of Computational and Graphical Statistics 26 (3), 478-492, 2017 | 40 | 2017 |
| ggplot2 Compatible Quantile-Quantile Plots in R. A Almeida, A Loy, H Hofmann R J. 10 (2), 248, 2018 | 34 | 2018 |
| Diagnostic tools for hierarchical linear models A Loy, H Hofmann Wiley Interdisciplinary Reviews: Computational Statistics 5 (1), 48-61, 2013 | 31 | 2013 |
| lmeresampler: Bootstrap methods for nested linear mixed-effects models A Loy, S Steele, J Korobova R package version 0.2 2, 2021 | 26 | 2021 |
| Supporting data science in the statistics curriculum A Loy, S Kuiper, L Chihara Journal of Statistics Education 27 (1), 2-11, 2019 | 26 | 2019 |
| Farmer perspectives on agriculture and weather variability in the Corn Belt: A statistical atlas A Loy, J Hobbs, JG Arbuckle Jr., L Wright Morton, LS Prokopy, T Haigh, ... | 16 | 2013 |
| Understanding farmer perspectives on climate change: Toward effective communication strategies for adaptation and mitigation in the Corn Belt JG Arbuckle, J Hobbs, A Loy, LW Morton, L Prokopy, J Tyndall Journal of Soil and Water Conservation 69 (6), 505-516, 2014 | 14 | 2014 |
| Diagnostics for mixed/hierarchical linear models A Loy | 10 | 2013 |
| Are you normal? the problem of confounded residual structures in hierarchical linear models A Loy, H Hofmann Journal of Computational and Graphical Statistics 24 (4), 1191-1209, 2015 | 9 | 2015 |
| Bringing visual inference to the classroom A Loy Journal of Statistics and Data Science Education 29 (2), 171-182, 2021 | 8 | 2021 |
| Bootstrapping Clustered Data in R using lmeresampler A Loy, J Korobova arXiv preprint arXiv:2106.06568, 2021 | 8 | 2021 |
| qqplotr: Quantile-Quantile plot extensions for ‘ggplot2’ A Almeida, A Loy, H Hofmann R package version 0.0, 2017 | 8 | 2017 |
| HLMdiag: Diagnostic tools for hierarchical (multilevel) linear models A Loy R package version 0.2 3, 1207, 2013 | 7 | 2013 |
| Corn belt farmers and climate change: beliefs, perceived risk, and support for action JG Arbuckle, LS Prokopy, T Haigh, J Hobbs, T Knoot, CL Knutson, A Loy, ... Clim. Change Lett 117 (4), 943-950, 2013 | 7 | 2013 |
| lmeresampler: bootstrap methods for nested linear mixed‐effects models [R package version 0.2. 2] A Loy, S Steele, J Korobova Website: https://cran. r-project. org/web/packages/lmeresampler, 2022 | 6 | 2022 |
