surv_cluster: K-means clusterization for survival data

In vitorcapdeville/survtools: Tools for analyzing survival data

K-means clusterization for survival data

Description

Clusterization of survival data using 'kml' and 'survival'. This function identify clusters of data that behaves similarly with regard to the hazard function.

Usage

surv_cluster(
  aj,
  n_clusters,
  nbRedrawing = 1,
  parAlgo = kml::parALGO(saveFreq = Inf, distanceName = "canberra")
)

Arguments

aj	aj previously fitted model (using 'survival::survfit()').
n_clusters	number of clusters, as defined in 'kml::kml'.
parAlgo, nbRedrawing	argumentos passados para 'kml::kml'.

Value

a data.frame with the resulting groups.

vitorcapdeville/survtools documentation built on Feb. 12, 2023, 12:01 p.m.