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See stats::model.frame() for more details.
stats::model.frame()
# S3 method for lcModel model.frame(formula, ...)
The lcModel object.
lcModel
Additional arguments.
A data.frame containing the variables used by the model.
data.frame
stats::model.frame model.data.lcModel
Other model-specific methods: clusterTrajectories(), coef.lcModel(), converged(), deviance.lcModel(), df.residual.lcModel(), fitted.lcModel(), fittedTrajectories(), lcModel-class, logLik.lcModel(), nobs.lcModel(), postprob(), predict.lcModel(), predictAssignments(), predictForCluster(), predictPostprob(), residuals.lcModel(), sigma.lcModel(), time.lcModel()
clusterTrajectories()
coef.lcModel()
converged()
deviance.lcModel()
df.residual.lcModel()
fitted.lcModel()
fittedTrajectories()
lcModel-class
logLik.lcModel()
nobs.lcModel()
postprob()
predict.lcModel()
predictAssignments()
predictForCluster()
predictPostprob()
residuals.lcModel()
sigma.lcModel()
time.lcModel()
# NOT RUN { data(latrendData) method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time") model <- latrend(method, data = latrendData) model.frame(model) # }
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