sigma.lcModel: Extract residual standard deviation from a lcModel

In latrend: A Framework for Clustering Longitudinal Data

Extract residual standard deviation from a lcModel

Description

Extracts or estimates the residual standard deviation. If sigma() is not defined for a model, it is estimated from the residual error vector.

Usage

## S3 method for class 'lcModel'
sigma(object, ...)

Arguments

object	The lcModel object.
...	Additional arguments.

Value

A numeric indicating the residual standard deviation.

See Also

coef.lcModel metric

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(), strip(), time.lcModel(), trajectoryAssignments()

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