Fit exploratory process profiles

Usage

fit_process_profile_mixture(
  data,
  variables,
  k = 3L,
  id = "person_id",
  engine = c("auto", "tidyLPA", "kmeans_reference"),
  seed = 777
)

Arguments

data: Person-level process data.
variables: Continuous process variables.
k: Number of profiles.
id: Optional person identifier.
engine: `auto`, `tidyLPA`, or `kmeans_reference`.
seed: Random seed.

Value

An object of class "eye_process_profile_mixture", stored as a named list, with components "model", "assignment", "summary", "variables", "k", "engine", "scaled_data", "status", "caveat". It contains exploratory process profiles and associated metadata or diagnostics needed to interpret the result.