Package: modelimpact
Type: Package
Title: Assess the Business Impact of Classification Models
Version: 1.2.0
Authors@R: 
    person("Peer", "Christensen", email = "hr.pchristensen@gmail.com",
           role = c("aut", "cre"))
Description: Calculate and visualise the financial impact of using a
        classification model to prioritise or target cases. Although
        originally designed for customer churn, the same tools apply to
        many binary classification problems, including fraud detection,
        credit default, lead scoring and marketing response, upsell and
        cross-sell, and predictive maintenance. Provides cost, revenue,
        profit and return-on-investment curves as a function of the
        share of cases 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.
License: MIT + file LICENSE
URL: https://github.com/PeerChristensen/modelimpact
BugReports: https://github.com/PeerChristensen/modelimpact/issues
Encoding: UTF-8
LazyData: true
Imports: dplyr, generics, magrittr, utils
Suggests: ggplot2, knitr, quarto, rmarkdown, scales, shiny, testthat
        (>= 3.0.0)
Depends: R (>= 2.10)
Config/roxygen2/version: 8.0.0
VignetteBuilder: knitr
Repository: https://peerchristensen.r-universe.dev
Date/Publication: 2026-07-20 13:47:24 UTC
RemoteUrl: https://github.com/peerchristensen/modelimpact
RemoteRef: HEAD
RemoteSha: 783a51c1dc83d9891e21258cd3d71e8e35086ec4
NeedsCompilation: no
Packaged: 2026-07-20 15:39:13 UTC; root
Author: Peer Christensen [aut, cre]
Maintainer: Peer Christensen <hr.pchristensen@gmail.com>