DESCRIPTION

Package: modelplotr
Type: Package
Title: Plots to Evaluate the Business Performance of Predictive Models
Version: 1.1.0
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: 7.1.1
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