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cff-version: 1.2.0
message: 'To cite package "ipeval" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'ipeval: Interventional Prediction Evaluation'
version: 0.1.0.9000
doi: 10.32614/CRAN.package.ipeval
abstract: Provides methods to evaluate predictive performance of models that estimate
  risks under hypothetical intervention scenarios (interventional/causal/counterfactual
  predictions) with observational data subject to treatment-outcome confounding. Inverse
  probability of treatment weighting (IPTW) is used to construct a pseudopopulation
  in which all individuals receive a specified intervention, enabling assessment of
  agreement between predicted risks under the intervention and observed outcomes in
  the pseudo-population corresponding to that intervention. Package supports binary
  and time-to-event outcomes under binary interventions made at a single time point.
  Performance measures supported are AUC (Area Under the receiving operating characteristic
  Curve), Brier score, observed-expected ratio, and calibration plots. Methods implemented
  in this package are based on work by Keogh and Van Geloven (2024) <DOI:10.1097/EDE.0000000000001713>.
authors:
- family-names: Egeraat
  given-names: Jasper
  name-particle: van
  email: j.w.a.van_egeraat@lumc.nl
- family-names: Geloven
  given-names: Nan
  name-particle: van
- family-names: Keogh
  given-names: Ruth
repository: https://jvelumc.r-universe.dev
repository-code: https://github.com/jvelumc/ipeval
commit: 6691c65e053f00cce9a2b48fdfc2155c51a1f65b
url: https://jvelumc.github.io/ipeval/
date-released: '2026-06-08'
contact:
- family-names: Egeraat
  given-names: Jasper
  name-particle: van
  email: j.w.a.van_egeraat@lumc.nl