latrend: lcModelWeightedPartition – R documentation

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latrend

lcModelWeightedPartition

Create a lcModel with pre-defined weighted partitioning

Description

Create a lcModel with pre-defined weighted partitioning

Usage

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

Arguments

`data`	The data on which the cluster result is based, a data.frame.
`response`	The name of the response variable.
`weights`	A `numIds` x `numClusters` matrix of partition probabilities.
`center`	The `function` for computing the longitudinal cluster centers, used for representing the cluster trajectories.
`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

A Framework for Clustering Longitudinal Data

v1.1.2

GPL (>= 2)

Authors

Initial release

2021-04-14

lcModelWeightedPartition

Description

Usage

Arguments

latrend

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