ipeval
Evaluation of Interventional Predictions
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | ipeval_0.1.0.tar.gz |
164.5 KiB |
0.1.0 |
rolling linux/noble R-4.5 | ipeval_0.1.0.tar.gz |
164.4 KiB |
0.1.0 |
rolling source/ R- | ipeval_0.1.0.tar.gz |
144.4 KiB |
0.1.0 |
latest linux/jammy R-4.5 | ipeval_0.1.0.tar.gz |
164.5 KiB |
0.1.0 |
latest linux/noble R-4.5 | ipeval_0.1.0.tar.gz |
164.4 KiB |
0.1.0 |
latest source/ R- | ipeval_0.1.0.tar.gz |
144.4 KiB |
0.1.0 |
2026-04-23 source/ R- | ipeval_0.1.0.tar.gz |
0 B |