MSCA - Unsupervised Clustering of Multiple Censored Time-to-Event
Endpoints
Provides basic tools and wrapper functions for computing
clusters of instances described by multiple time-to-event
censored endpoints. From long-format datasets, where one
instance is described by one or more dated records, the main
function, `make_state_matrices()`, creates state matrices.
Based on these matrices, optimised procedures using the Jaccard
distance between instances enable the construction of
longitudinal typologies. The package is under active
development, with additional tools for graphical representation
of typologies planned. For methodological details, see our
accompanying paper: `Delord M, Douiri A (2025)
<doi:10.1186/s12874-025-02476-7>`.
