CRAN/E | modelplotr

modelplotr

Plots to Evaluate the Business Performance of Predictive Models

Installation

About

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.

github.com/jurrr/modelplotr
Bug report File report

Key Metrics

Version 1.1.0
R ≥ 3.1.0
Published 2020-10-13 1290 days ago
Needs compilation? no
License GPL-3
CRAN checks modelplotr results

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Maintainer

Maintainer

Jurriaan Nagelkerke

jurriaan.nagelkerke@gmail.com

Authors

Jurriaan Nagelkerke

aut / cre

Pieter Marcus

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

modelplotr

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

modelplotr archive

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