modelimpact: Functions to Assess the Business Impact of Churn Prediction Models

Calculate and visualise the financial impact of using a classification model, such as a churn model, to target customers. Provides cost, revenue, profit and return-on-investment curves as a function of the share of customers targeted, cumulative gains and lift, marginal profit per bin, and confusion-matrix based payoff across probability thresholds. Also includes 'ggplot2' 'autoplot()' methods and an interactive 'shiny' application for exploring the results.

Version: 1.1.0
Depends: R (≥ 2.10)
Imports: dplyr, magrittr, utils
Suggests: ggplot2, scales, shiny, testthat (≥ 3.0.0)
Published: 2026-07-08
DOI: 10.32614/CRAN.package.modelimpact
Author: Peer Christensen [aut, cre]
Maintainer: Peer Christensen <hr.pchristensen at gmail.com>
BugReports: https://github.com/PeerChristensen/modelimpact/issues
License: MIT + file LICENSE
URL: https://github.com/PeerChristensen/modelimpact
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: modelimpact results

Documentation:

Reference manual: modelimpact.html , modelimpact.pdf

Downloads:

Package source: modelimpact_1.1.0.tar.gz
Windows binaries: r-devel: modelimpact_1.0.0.zip, r-release: modelimpact_1.0.0.zip, r-oldrel: modelimpact_1.0.0.zip
macOS binaries: r-release (arm64): modelimpact_1.0.0.tgz, r-oldrel (arm64): modelimpact_1.0.0.tgz, r-release (x86_64): modelimpact_1.0.0.tgz, r-oldrel (x86_64): modelimpact_1.0.0.tgz
Old sources: modelimpact archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=modelimpact to link to this page.