Evaluation of Interventional Predictions R package ipeval version 0.1.0 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>. Software Depends: R (>= 3.5) Imports: stats, survival, prodlim Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ipw, riskRegression Jasper van Egeraat <j.w.a.van_egeraat@lumc.nl> Comprehensive R Archive Network (CRAN) Jasper van Egeraat [aut, cre], Nan van Geloven [aut, cph], Ruth Keogh [aut, cph], Leiden University Medical Center [fnd] GPL (>= 3) 2026-05-06 application/tgz https://CRAN.R-project.org/package=ipeval doi:10.32614/CRAN.package.ipeval