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MSCA  

Clustering of Multiple Censored Time-to-Event Endpoints
View on CRAN: Click here


Download and install MSCA package within the R console
Install from CRAN:
install.packages("MSCA")

Install from Github:
library("remotes")
install_github("cran/MSCA")

Install by package version:
library("remotes")
install_version("MSCA", "1.0")



Attach the package and use:
library("MSCA")
Maintained by
Marc Delord
[Scholar Profile | Author Map]
First Published: 2025-02-19
Latest Update: 2025-02-19
Description:
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>.
How to cite:
Marc Delord (2025). MSCA: Clustering of Multiple Censored Time-to-Event Endpoints. R package version 1.0, https://cran.r-project.org/web/packages/MSCA. Accessed 04 Apr. 2025.
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Complete documentation for MSCA
Functions, R codes and Examples using the MSCA R package
Full MSCA package functions and examples
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