fast_jaccard_dist

Compute upper triangle Jaccard distance

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>`.

Marc Delord

MSCA

Unsupervised Clustering of Multiple Censored Time-to-Event
Endpoints

fast_jaccard_dist function

<dl><dt>mat</dt>
<dd>A numeric binary matrix (0/1/NA)</dd>
<dt>as.dist</dt>
<dd>Logical. If TRUE, return a dist object; otherwise an upper triangular matrix.</dd></dl>

Arguments

Compute upper triangle Jaccard distance — fast_jaccard_dist

<dl>

<dt>mat</dt>
<dd>A numeric binary matrix (0/1/NA)</dd>


<dt>as.dist</dt>
<dd>Logical. If TRUE, return a dist object; otherwise an upper triangular matrix.</dd>

</dl>

fast_jaccard_dist: Compute upper triangle Jaccard distance

Description

Usage

Value

Arguments