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ipeval  

Interventional Prediction Evaluation
View on CRAN: Click here


Download and install ipeval package within the R console
Install from CRAN:
install.packages("ipeval")

Install from Github:
library("remotes")
install_github("cran/ipeval")

Install by package version:
library("remotes")
install_version("ipeval", "0.1.2")



Attach the package and use:
library("ipeval")
Maintained by
Jasper van Egeraat
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-06
Latest Update: 2026-05-06
Description:
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>.
How to cite:
Jasper van Egeraat (2026). ipeval: Interventional Prediction Evaluation. R package version 0.1.2, https://cran.r-project.org/web/packages/ipeval. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-09-13 12:10), 0.1.0 (2026-05-06 22:30), 0.1.1 (2026-08-29 19:00)
Other packages that cited ipeval R package
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Complete documentation for ipeval
Functions, R codes and Examples using the ipeval R package
Full ipeval package functions and examples
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