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DESCRIPTION
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DESCRIPTION
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Package: modelplotr
Type: Package
Title: Plots to Evaluate the Business Performance of Predictive Models
Version: 0.1
Authors@R: as.person(c(
"Jurriaan Nagelkerke <jurriaan.nagelkerke@gmail.com> [aut, cre]",
"Pieter Marcus <pieter.marcus@persgroep.net> [aut]"))
URL: https://github.com/jurrr/modelplotr
BugReports: https://github.com/jurrr/modelplotr/issues
Description: Plots to evaluate the business performance of predictive models in R.
A number of widely used plots to assess the quality of a predictive model from
a business perspective can easily be created.Using these plots, it can be shown
how implementation of the model will impact business targets like response on a
campaign. Also, the under/overperformance of a model on the train data compared
to other datasets (test data, external validation data,...) can be visualized
with a number of functions.
Depends: R (>= 3.3.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports:
ggplot2 (>= 3.0.0),
grid (>= 3.5.0),
gridExtra (>= 2.3.0),
magrittr (>= 1.5.0),
tidyverse (>= 1.2.1),
RColorBrewer (>= 1.1.2),
mlr (>= 2.12.1),
randomForest (>= 4.6.14),
xgboost(>= 0.71.2),
ggfittext (>= 0.6.0)
RoxygenNote: 6.0.1
Suggests:
knitr,
rmarkdown,
testthat
VignetteBuilder: knitr