R: Reduce the lcModel memory footprint for serialization

strip

R Documentation

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)
})

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)