Tools to visualize the results of a classification of cases. The graphical displays include stacked plots, silhouette plots, quasi residual plots, and class maps. Implements the techniques described and illustrated in Raymaekers J., Rousseeuw P.J., Hubert M. (2021). Class maps for visualizing classification results. \emph{Technometrics}, 64(2), 151–165. \doi{10.1080/00401706.2021.1927849} (open access) and Raymaekers J., Rousseeuw P.J.(2021). Silhouettes and quasi residual plots for neural nets and tree-based classifiers. \emph{Journal of Computational and Graphical Statistics}, 31(4), 1332–1343. \doi{10.1080/10618600.2022.2050249}. Examples can be found in the vignettes: "Discriminant_analysis_examples","K_nearest_neighbors_examples", "Support_vector_machine_examples", "Rpart_examples", "Random_forest_examples", and "Neural_net_examples".
Package details |
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Author | Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut] |
Maintainer | Jakob Raymaekers <jakob.raymaekers@kuleuven.be> |
License | GPL (>= 2) |
Version | 1.2.4 |
URL | https://doi.org/10.1080/00401706.2021.1927849 https://doi.org/10.1080/10618600.2022.2050249 |
Package repository | View on CRAN |
Installation |
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