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>'.
Version: 1.2.1 Depends: R (≥ 3.5) Imports: Rcpp, fastkmedoids, RcppParallel (≥ 5.1.10), data.table, dplyr, Matrix, rlang LinkingTo: Rcpp, RcppArmadillo, RcppParallel Suggests: knitr, rmarkdown, cluster, fastcluster Published: 2025-06-13 DOI: 10.32614/CRAN.package.MSCA Author: Marc Delord [aut, cre] Maintainer: Marc Delord <mdelord at gmail.com> License: GPL-3 NeedsCompilation: yes SystemRequirements: GNU make Materials: README NEWS CRAN checks: MSCA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=MSCA to link to this page.
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