Plots to assess the quality of predictive models from a business perspective. Using these plots, it can be shown how implementation of the model will impact business targets like response on a campaign or return on investment. Different scopes can be selected: compare models, compare datasets or compare target class values and various plot customization and highlighting options are available. targets like response on a campaign. Different scopes can be selected: compare models, compare datasets or compare target class values and various plot customization and highlighting options are available.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | ggplot2 (≥ 2.2.1), gridExtra (≥ 2.3.0), magrittr (≥ 1.5.0), dplyr (≥ 0.7.7), RColorBrewer (≥ 1.1.2), ggfittext (≥ 0.6.0), scales (≥ 1.0.0), rlang (≥ 0.3.1) |
| Suggests: | mlr (≥ 2.12.1), caret (≥ 6.0), randomForest (≥ 4.6.14), nnet (≥ 7.3-12), e1071, h2o, keras, knitr, rmarkdown, testthat, xgboost, stringr, kableExtra, lattice, ranger, glmnet |
| Published: | 2019-04-24 |
| Author: | Jurriaan Nagelkerke [aut, cre], Pieter Marcus [aut] |
| Maintainer: | Jurriaan Nagelkerke <jurriaan.nagelkerke at gmail.com> |
| BugReports: | https://github.com/jurrr/modelplotr/issues |
| License: | GPL-3 |
| URL: | https://github.com/jurrr/modelplotr |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | modelplotr results |
| Reference manual: | modelplotr.pdf |
| Vignettes: |
modelplotr |
| Package source: | modelplotr_1.0.0.tar.gz |
| Windows binaries: | r-devel: modelplotr_1.0.0.zip, r-release: modelplotr_1.0.0.zip, r-oldrel: modelplotr_1.0.0.zip |
| macOS binaries: | r-release: modelplotr_1.0.0.tgz, r-oldrel: modelplotr_1.0.0.tgz |
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