get_cluster_sequences: Extract sequences of length k within clusters

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

Extract sequences of length k within clusters

Description

For each cluster, extract all sequence of length k from the ordered observations grouped by individual IDs. Returns a list of sequences per cluster.

Usage

get_cluster_sequences(
  dt,
  cl_col = "cl",
  id_col = "link_id",
  event_col = "reg",
  k = 2
)

Arguments

dt	A data.table or data.frame containing the data in a long format.
cl_col	Name of the column containing cluster labels.
id_col	Name of the column identifying individual trajectories (e.g. patient ID).
event_col	Name of the column containing ordered events (e.g. diagnoses, prescriptions).
k	Integer specifying the sequence length (recomended 2).

Value

A named list of data frames, each containing sequences of length k observed in a given cluster.

Author(s)

Marc Delord

References

Delord M, Douiri A (2025) doi:10.1186/s12874-025-02476-7

See Also

cspade in the arulesSequences package for sequential pattern mining using the SPADE algorithm.

MSCA documentation built on June 8, 2025, 10:52 a.m.