lcApproxModel-class: lcApproxModel class

In latrend: A Framework for Clustering Longitudinal Data

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