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:
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')) |
- EHR - Description of the EHR dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 25 days agofrom:649da68788. Checks:11 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 20 2025 |
R-4.5-win-x86_64 | OK | Feb 20 2025 |
R-4.5-mac-x86_64 | OK | Feb 20 2025 |
R-4.5-mac-aarch64 | OK | Feb 20 2025 |
R-4.5-linux-x86_64 | OK | Feb 20 2025 |
R-4.4-win-x86_64 | OK | Feb 20 2025 |
R-4.4-mac-x86_64 | OK | Feb 20 2025 |
R-4.4-mac-aarch64 | OK | Feb 20 2025 |
R-4.3-win-x86_64 | OK | Feb 20 2025 |
R-4.3-mac-x86_64 | OK | Feb 20 2025 |
R-4.3-mac-aarch64 | OK | Feb 20 2025 |
Exports:make_state_matrixmsca
Dependencies:clidplyrfansigenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigR6RcppRcppArmadilloRcppParallelrlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Description of the EHR dataset | EHR |
Create a State Matrix | make_state_matrix |
Compute Jaccard Index Using Parallel Rcpp | msca |
Clustering of Multiple Censored Time-to-Event Endpoints | MSCA-package |