Package: MSCA 1.0

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>.

Authors:Marc Delord [aut, cre]

MSCA_1.0.tar.gz
MSCA_1.0.zip(r-4.5)MSCA_1.0.zip(r-4.4)MSCA_1.0.zip(r-4.3)
MSCA_1.0.tgz(r-4.5-x86_64)MSCA_1.0.tgz(r-4.5-arm64)MSCA_1.0.tgz(r-4.4-x86_64)MSCA_1.0.tgz(r-4.4-arm64)MSCA_1.0.tgz(r-4.3-x86_64)MSCA_1.0.tgz(r-4.3-arm64)
MSCA_1.0.tar.gz(r-4.5-noble)MSCA_1.0.tar.gz(r-4.4-noble)
MSCA_1.0.tgz(r-4.4-emscripten)MSCA_1.0.tgz(r-4.3-emscripten)
MSCA.pdf |MSCA.html
MSCA/json (API)

# Install 'MSCA' in R:
install.packages('MSCA', repos = c('https://marc-75.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • EHR - Description of the EHR dataset

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 2 exports 21 dependencies

Last updated 25 days agofrom:649da68788. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-win-x86_64OKFeb 20 2025
R-4.5-mac-x86_64OKFeb 20 2025
R-4.5-mac-aarch64OKFeb 20 2025
R-4.5-linux-x86_64OKFeb 20 2025
R-4.4-win-x86_64OKFeb 20 2025
R-4.4-mac-x86_64OKFeb 20 2025
R-4.4-mac-aarch64OKFeb 20 2025
R-4.3-win-x86_64OKFeb 20 2025
R-4.3-mac-x86_64OKFeb 20 2025
R-4.3-mac-aarch64OKFeb 20 2025

Exports:make_state_matrixmsca

Dependencies:clidplyrfansigenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigR6RcppRcppArmadilloRcppParallelrlangtibbletidyselectutf8vctrswithr