lcModelWeightedPartition: Create a lcModel with pre-defined weighted partitioning

In latrend: A Framework for Clustering Longitudinal Data

Create a lcModel with pre-defined weighted partitioning

Description

Create a lcModel with pre-defined weighted partitioning

Usage

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.

latrend documentation built on March 31, 2023, 5:45 p.m.