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latrend

interface-custom

custom interface

Description

custom interface

Usage

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

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

## S4 method for signature 'lcMethodCustom'
prepareData(method, data, verbose)

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

## S4 method for signature 'lcModelCustom'
getName(object, ...)

## S4 method for signature 'lcModelCustom'
getShortName(object, ...)

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

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

## S3 method for class 'lcModelCustom'
predict(object, ..., newdata = NULL, what = "mu")

## S4 method for signature 'lcModelCustom'
predictPostprob(object, newdata = NULL, ...)

## S4 method for signature 'lcModelCustom'
clusterTrajectories(object, at = time(object), ...)

## S4 method for signature 'lcModelCustom'
trajectories(
  object,
  at = time(object),
  what = "mu",
  clusters = trajectoryAssignments(object),
  ...
)

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

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

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

## S4 method for signature 'lcModelPartition'
clusterTrajectories(object, at = time(object), ...)

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

## S4 method for signature 'lcModelPartition'
getName(object, ...)

## S4 method for signature 'lcModelPartition'
getShortName(object, ...)

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

## S4 method for signature 'lcModelStratify'
clusterTrajectories(object, at = time(object), ...)

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

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

## S4 method for signature 'lcModelStratify'
predictPostprob(object, newdata = NULL, ...)

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.
`verbose`	A R.utils::Verbose object indicating the level of verbosity.
`envir`	The `environment` in which the `lcMethod` should be evaluated
`...`	Additional arguments.
`newdata`	Optional data frame for which to compute the posterior probability. If omitted, the model training data is used.
`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'`.
`at`	An optional vector, list or data frame of covariates at which to compute the cluster trajectory predictions. If a vector is specified, this is assumed to be the time covariate. Otherwise, a named list or data frame must be provided.
`clusters`	The cluster assignments for the strata to base the trajectories on.

interface-custom

Description

Usage

Arguments

See Also

latrend

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