bootstrap_sequence_clusters: Bootstrap sequence-cluster stability

In gp3sequences: Transparent Analysis of Ordered Categorical Sequences

Bootstrap sequence-cluster stability

Description

Uses repeated subsampling without replacement and records pairwise co-clustering agreement relative to the full-data solution.

Usage

bootstrap_sequence_clusters(
  distance,
  k,
  method = c("hierarchical", "pam", "clara"),
  n_boot = 100L,
  sample_fraction = 0.8,
  seed = 1L,
  linkage = "average",
  ...
)

Arguments

distance	Sequence distance object.
k	Number of clusters.
method	Clustering method.
n_boot	Number of subsamples.
sample_fraction	Fraction of sequences sampled in each iteration.
seed	Reproducibility seed.
linkage	Hierarchical linkage.
...	Additional clustering arguments.

Value

An object of class gp3_sequence_cluster_bootstrap.

Examples

sequences <- data.frame(
  sequence_id = rep(c("s1", "s2", "s3", "s4"), each = 4L),
  sequence_order = rep(1:4, times = 4L),
  state = c("A", "B", "C", "D", "A", "B", "C", "C",
            "D", "C", "B", "A", "D", "C", "A", "A"),
  group = rep(c("g1", "g2"), each = 8L),
  stringsAsFactors = FALSE
)
distance <- compute_sequence_distance(sequences)
bootstrap_sequence_clusters(distance, k = 2L, n_boot = 5L, seed = 1L)

gp3sequences documentation built on Aug. 23, 2026, 5:10 p.m.