Package: modelplotr
Type: Package
Title: Plots to Evaluate the Business Performance of Predictive Models
Version: 1.0.0
Authors@R: c(
    person("Jurriaan","Nagelkerke",email="jurriaan.nagelkerke@gmail.com",role=c("aut","cre")), 
    person("Pieter","Marcus",email="pieter.marcus@persgroep.net",role="aut"))
URL: https://github.com/jurrr/modelplotr
BugReports: https://github.com/jurrr/modelplotr/issues
Description: 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.
Depends: R (>= 3.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
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)
RoxygenNote: 6.1.1
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
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-04-16 13:21:57 UTC; j.nagelkerke
Author: Jurriaan Nagelkerke [aut, cre],
  Pieter Marcus [aut]
Maintainer: Jurriaan Nagelkerke <jurriaan.nagelkerke@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-24 14:10:03 UTC
