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interface-funFEM

funFEM interface

Description

funFEM interface

Usage

## S4 method for signature 'lcMethodFunFEM'
getName(object)

## S4 method for signature 'lcMethodFunFEM'
getShortName(object)

## S4 method for signature 'lcMethodFunFEM'
preFit(method, data, envir, verbose, ...)

## S4 method for signature 'lcMethodFunFEM'
fit(method, data, envir, verbose, ...)

## S3 method for class 'lcModelFunFEM'
fitted(object, ..., clusters = trajectoryAssignments(object))

## S4 method for signature 'lcModelFunFEM'
predictForCluster(
  object,
  newdata,
  cluster,
  what = "mu",
  approxFun = approx,
  ...
)

## S4 method for signature 'lcModelFunFEM'
postprob(object, ...)

## S3 method for class 'lcModelFunFEM'
coef(object, ...)

## S3 method for class 'lcModelFunFEM'
logLik(object, ...)

## S4 method for signature 'lcModelFunFEM'
converged(object, ...)

Arguments

`object`	The object to extract the label from.
`method`	The `lcMethod` object.
`data`	The data, as a `data.frame`, on which the model will be trained.
`envir`	The `environment` in which the `lcMethod` should be evaluated
`verbose`	A R.utils::Verbose object indicating the level of verbosity.
`...`	Additional arguments.
`clusters`	Optional cluster assignments per id. If unspecified, a `matrix` is returned containing the cluster-specific predictions per column.
`newdata`	Optional `data.frame` for which to compute the model predictions. If omitted, the model training data is used. Cluster trajectory predictions are made when ids are not specified.
`cluster`	The cluster name (as `character`) to predict for.
`what`	The distributional parameter to predict. By default, the mean response 'mu' is predicted. The cluster membership predictions can be obtained by specifying `what = 'mb'`.
`approxFun`	Function to interpolate between measurement moments, approx() by default.

interface-funFEM

Description

Usage

Arguments

See Also

latrend

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