| pdp: An R package for constructing partial dependence plots. BM Greenwell R J. 9 (1), 421, 2017 | 761 | 2017 |
| Hands-on machine learning with R B Boehmke, BM Greenwell Chapman and Hall/CRC, 2019 | 587 | 2019 |
| gbm: Generalized boosted regression models B Greenwell, B Boehmke, J Cunningham, GBM Developers R package version 2 (5), 37-40, 2019 | 463 | 2019 |
| A simple and effective model-based variable importance measure BM Greenwell, BC Boehmke, AJ McCarthy arXiv preprint arXiv:1805.04755, 2018 | 286 | 2018 |
| gbm: generalized boosted regression models. R package version 2.1. 5 B Greenwell, B Boehmke, J Cunningham, GBM Developers Website https://cran. r-project. org/package= gbm [accessed 12 January 2020], 2019 | 222 | 2019 |
| Variable Importance Plots-An Introduction to the vip Package. BM Greenwell, BC Boehmke, B Gray R J. 12 (1), 343, 2020 | 200 | 2020 |
| investr: An R Package for Inverse Estimation BM Greenwell, CM Schubert Kabban The R Journal 6 (1), 90-100, 2014 | 92 | 2014 |
| Package ‘gbm’ B Greenwell, B Boehmke, J Cunningham, GBM Developers, ... R package version 2 (5), 2019 | 75 | 2019 |
| Gbm: Generalized Boosted Regression Models. 2020 B Greenwell, B Boehmke, J Cunningham, GBM Developers R package version 2 (8), 2022 | 72 | 2022 |
| The probability of detection for structural health monitoring systems: Repeated measures data CM Schubert Kabban, BM Greenwell, MP DeSimio, MM Derriso Structural Health Monitoring 14 (3), 252-264, 2015 | 64 | 2015 |
| Residuals and diagnostics for binary and ordinal regression models: an introduction to the sure package. BM Greenwell, AJ McCarthy, BC Boehmke, D Liu R J. 10 (1), 381, 2018 | 30 | 2018 |
| fastshap: fast approximate Shapley values B Greenwell Manual of R package v0. 0.5 https://CRAN. R-project. org/package= fastshap …, 2020 | 28 | 2020 |
| Package ‘gbm’-Generalized Boosted Regression Models B Greenwell, B Boehmke, J Cunningham, G Developers CRAN Repos, 39, 2020 | 25 | 2020 |
| pdp: an R package for constructing partial dependence plots, R J., 9, 421–436 BM Greenwell | 25 | 2017 |
| Vip: Variable importance plots B Greenwell, B Boehmke, B Gray R package version 0.3 2, 2020 | 18 | 2020 |
| Interpretable machine learning B Boehmke, B Greenwell, B Boehmke, B Greenwell Hands-on machine learning with R, 305-42, 2019 | 15 | 2019 |
| MrIML: Multi‐response interpretable machine learning to model genomic landscapes NM Fountain‐Jones, CP Kozakiewicz, BR Forester, EL Landguth, ... Molecular Ecology Resources 21 (8), 2766-2781, 2021 | 12 | 2021 |
| gbm: Generalized boosted regression models (version 2.1. 5) B Greenwell, B Boehmke, J Cunningham, GBM Developers R package, 2019 | 12 | 2019 |
| Risk factors for hearing decrement among US Air force aviation-related personnel BM Greenwell, AP Tvaryanas, GM Maupin Aerospace Medicine and Human Performance 89 (2), 80-86, 2018 | 10 | 2018 |
| Package “pdp”-Partial Dependence Plots B Greenwell CRAN Repos, 2018 | 10 | 2018 |
