Create a lcModel with pre-defined weighted partitioning

lcModelWeightedPartition(
  data,
  response,
  weights,
  clusterNames = colnames(weights),
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  name = "wpart"
)

Arguments

data: A data.frame representing the trajectory data.
response: The name of the response variable.
weights: A numIds x numClusters matrix of partition probabilities.
clusterNames: The names of the clusters, or a function with input n outputting a character vector of names.
time: The name of the time variable.
id: The name of the trajectory identification variable.
name: The name of the method.