strip: Reduce the lcModel memory footprint for serialization

In latrend: A Framework for Clustering Longitudinal Data

Reduce the lcModel memory footprint for serialization

Description

Strip a lcModel of non-essential variables and environments in order to reduce the model size for serialization.

Usage

## S4 method for signature 'lcMethod'
strip(object, ..., classes = "formula")

## S4 method for signature 'ANY'
strip(object, ..., classes = "formula")

## S4 method for signature 'lcModel'
strip(object, ..., classes = "formula")

Arguments

object	The lcModel object.
...	Additional arguments.
classes	The object classes for which to remove their assigned environment. By default, only environments from formula are removed.

Value

An lcModel object of the same type as the object argument.

Implementation

Classes extending lcModel can override this method to remove additional non-essentials.

setMethod("strip", "lcModelExt", function(object, ..., classes = "formula") {
  object <- callNextMethod()
  # further process the object
  return(object)
})

See Also

Other lcModel functions: clusterNames(), clusterProportions(), clusterSizes(), clusterTrajectories(), coef.lcModel(), converged(), deviance.lcModel(), df.residual.lcModel(), estimationTime(), externalMetric,lcModel,lcModel-method, fitted.lcModel(), fittedTrajectories(), getCall.lcModel(), getLcMethod(), ids(), lcModel-class, metric(), model.frame.lcModel(), nClusters(), nIds(), nobs.lcModel(), plot-lcModel-method, plotClusterTrajectories(), plotFittedTrajectories(), postprob(), predict.lcModel(), predictAssignments(), predictForCluster(), predictPostprob(), qqPlot(), residuals.lcModel(), sigma.lcModel(), time.lcModel(), trajectoryAssignments()

Examples

data(latrendData)
method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time")
model <- latrend(method, latrendData)
newModel <- strip(model)

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