modelplotr: Plots to Evaluate the Business Performance of Predictive Models

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

Downloads:

Reference manual: modelplotr.pdf
Vignettes: modelplotr
Package source: modelplotr_1.0.0.tar.gz
Windows binaries: r-devel: modelplotr_1.0.0.zip, r-devel-gcc8: modelplotr_1.0.0.zip, r-release: modelplotr_1.0.0.zip, r-oldrel: modelplotr_1.0.0.zip
OS X binaries: r-release: modelplotr_1.0.0.tgz, r-oldrel: modelplotr_1.0.0.tgz

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