latrend: lcApproxModel-class – R documentation

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lcApproxModel-class

lcApproxModel class

Description

approx models have defined cluster trajectories at fixed moments in time, which should be interpolated For a correct implementation, lcApproxModel requires the extending class to implement clusterTrajectories(at=NULL) to return the fixed cluster trajectories

Usage

## S3 method for class 'lcApproxModel'
fitted(object, ..., clusters = trajectoryAssignments(object))

## S4 method for signature 'lcApproxModel'
predictForCluster(
  object,
  newdata,
  cluster,
  what = "mu",
  approxFun = approx,
  ...
)

Arguments

`object`	The `lcModel` object.
`...`	Additional arguments.
`clusters`	Optional cluster assignments per id. If unspecified, a `matrix` is returned containing the cluster-specific predictions per column.
`newdata`	Optional `data.frame` for which to compute the model predictions. If omitted, the model training data is used. Cluster trajectory predictions are made when ids are not specified.
`cluster`	The cluster name (as `character`) to predict for.
`what`	The distributional parameter to predict. By default, the mean response 'mu' is predicted. The cluster membership predictions can be obtained by specifying `what = 'mb'`.
`approxFun`	Function to interpolate between measurement moments, approx() by default.

latrend

A Framework for Clustering Longitudinal Data

v1.1.2

GPL (>= 2)

Authors

Initial release

2021-04-14

lcApproxModel-class

Description

Usage

Arguments

latrend

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