https://survival-lumc.r-universe.devRecent package updates in survival-lumcR-universehttps://github.com/survival-lumc.pnghttps://survival-lumc.r-universe.devSun, 13 Sep 2026 09:16:17 GMTj.w.a.van_egeraat@lumc.nl (Jasper van Egeraat)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. Supports interventions with binary or categorical treatment levels, applied 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>.https://github.com/r-universe/survival-lumc/actions/runs/38389515069Sun, 13 Sep 2026 09:16:17 GMTipeval0.1.2successhttps://survival-lumc.r-universe.devhttps://github.com/survival-lumc/ipevalipeval.Rmdipeval.htmlipeval: an R package for evaluating predictions under interventions2026-04-17 09:11:522026-08-09 15:47:38time-to-event.Rmdtime-to-event.htmlEvaluating performance in time-to-event data2026-04-16 11:56:242026-05-05 07:33:39