R/generics.R, R/method.R, R/model.R
strip.RdReduce the (serialized) memory footprint of an object.
strip(object, ...)
# S4 method for lcMethod
strip(object, ..., classes = "formula")
# S4 method for ANY
strip(object, ..., classes = "formula")
# S4 method for lcModel
strip(object, ..., classes = "formula")The model.
Not used.
The object classes for which to remove their assigned environment. By default, only environments from formula are removed.
The stripped (i.e., updated) object.
Serializing references to environments results in the serialization of the object together with any associated environments and references. This method removes those environments and references, greatly reducing the serialized object size.
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(),
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()
data(latrendData)
method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time")
model <- latrend(method, latrendData)
newModel <- strip(model)