latrend (version 1.3.0)

logLik.lcModel: Extract the log-likelihood of a lcModel

Description

Extract the log-likelihood of a lcModel

Usage

# S3 method for lcModel
logLik(object, ...)

Arguments

object

The lcModel object.

...

Additional arguments.

Value

A numeric with the computed log-likelihood. If unavailable, NA is returned.

Details

The default implementation checks for the existence of the logLik() function for the internal model, and returns the output, if available.

See Also

stats::logLik metric

Other model-specific methods: clusterTrajectories(), coef.lcModel(), converged(), deviance.lcModel(), df.residual.lcModel(), fitted.lcModel(), fittedTrajectories(), lcModel-class, model.frame.lcModel(), nobs.lcModel(), postprob(), predict.lcModel(), predictAssignments(), predictForCluster(), predictPostprob(), residuals.lcModel(), sigma.lcModel(), time.lcModel()

Examples

# NOT RUN {
data(latrendData)

if (rlang::is_installed("lcmm")) {
  method <- lcMethodLcmmGBTM(
    fixed = Y ~ Time,
    mixture = ~ 1,
    id = "Id",
    time = "Time",
    nClusters = 3
  )
  gbtm <- latrend(method, data = latrendData)
  logLik(gbtm)
}
# }