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MSCA: Clustering of Multiple Censored Time-to-Event Endpoints

Provides basic tools 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 records of events, a procedure is used to compute state matrices. Then, from state matrices, a procedure provides optimised computation of the Jaccard distance between instances. The library is currently in development, and more options and tools allowing graphical representation of typologies are expected. For methodological details, see our methodological paper: Delord M, Douiri A (2025) <doi:10.1186/s12874-025-02476-7>.

Version: 1.0
Depends: R (≥ 3.5.0)
Imports: dplyr, Matrix, Rcpp, RcppParallel, rlang, stats, tibble, utils
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Published: 2025-02-19
DOI: 10.32614/CRAN.package.MSCA
Author: Marc Delord ORCID iD [aut, cre]
Maintainer: Marc Delord <mdelord at gmail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: MSCA results

Documentation:

Reference manual: MSCA.pdf

Downloads:

Package source: MSCA_1.0.tar.gz
Windows binaries: r-devel: not available, r-release: MSCA_1.0.zip, r-oldrel: MSCA_1.0.zip
macOS binaries: r-devel (arm64): MSCA_1.0.tgz, r-release (arm64): MSCA_1.0.tgz, r-oldrel (arm64): MSCA_1.0.tgz, r-devel (x86_64): MSCA_1.0.tgz, r-release (x86_64): MSCA_1.0.tgz, r-oldrel (x86_64): MSCA_1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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