Get the elapsed time for estimating the given model.
For lcModel: Get the estimation time of the model, determined by the time taken for the associated fit() function to finish.
estimationTime(object, unit = "secs", ...)
# S4 method for lcModel
estimationTime(object, unit = "secs", ...)
# S4 method for lcModels
estimationTime(object, unit = "secs", ...)
# S4 method for list
estimationTime(object, unit = "secs", ...)The model.
The time unit in which the estimation time should be outputted. By default, estimation time is in seconds. For accepted units, see base::difftime.
Not used.
A non-negative scalar numeric representing the estimation time in the specified unit..
Other lcModel functions:
clusterNames(),
clusterProportions(),
clusterSizes(),
clusterTrajectories(),
coef.lcModel(),
converged(),
deviance.lcModel(),
df.residual.lcModel(),
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(),
strip(),
time.lcModel(),
trajectoryAssignments()
data(latrendData)
method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time")
model <- latrend(method, latrendData)
estimationTime(model)
#> [1] 0.094
estimationTime(model, unit = 'mins')
#> [1] 0.001566667
estimationTime(model, unit = 'days')
#> [1] 1.087963e-06