https://gbakoyannis.r-universe.devRecent package updates in gbakoyannisR-universehttps://github.com/gbakoyannis.pnghttps://gbakoyannis.r-universe.devWed, 20 May 2026 02:02:38 GMTgbakogia@iu.edu (Giorgos Bakoyannis)Nonparametric estimation of population-averaged transition probabilities, with cluster-bootstrap pointwise confidence intervals, simultaneous confidence bands, and two-sample Kolmogorov-Smirnov-type tests for clustered or independent multistate process data. Estimation follows Bakoyannis (2021) <doi:10.1111/biom.13327>; two-sample inference for the cluster-randomized and independent-samples designs follows Bakoyannis and Bandyopadhyay (2022) <doi:10.1007/s10463-021-00819-x>. Both methods use the working-independence Aalen-Johansen estimator. The package supports both progressive (acyclic) and non-monotone (e.g., illness-death with recovery) multistate processes, right censoring, left truncation, and informative cluster size. The user supplies data in interval format (one row per mutually-exclusive time interval per subject) and interacts with the package through a single formula-based function, patp().https://github.com/r-universe/gbakoyannis/actions/runs/26562892681Wed, 20 May 2026 02:02:38 GMTclusteredMSM0.1.0successhttps://gbakoyannis.r-universe.devhttps://github.com/gbakoyannis/clusteredmsmgetting-started.Rmdgetting-started.htmlGetting started with clusteredMSM2026-05-08 02:43:282026-05-11 09:52:58