https://w2meng.r-universe.devRecent package updates in w2mengR-universehttps://github.com/w2meng.pnghttps://w2meng.r-universe.devMon, 21 Sep 2026 21:00:07 GMTw2meng@ucsd.edu (Wenjing Meng)Fits general two-component combined-exposure models for binary event histories when the event setting is not observed. The observed binary event is represented as the union of two latent component-specific binary events. Known exposure proportions enter as offsets. Parameters can be estimated by expectation-maximization, direct Marquardt-damped Newton-Raphson maximization of the observed likelihood, or a hybrid that uses several expectation-maximization iterations before direct optimization. Uncertainty is estimated with Louis' formula for the expectation-maximization estimator and the inverse observed Hessian for direct and hybrid fits. Complementary log-log, logit, and log component links are available for all three estimation methods.https://github.com/r-universe/w2meng/actions/runs/35713257694Mon, 21 Sep 2026 21:00:07 GMTexposureEM0.3.0successhttps://w2meng.r-universe.devhttps://github.com/cran/exposureEM