interface-lcmm: lcmm interface

In latrend: A Framework for Clustering Longitudinal Data

lcmm interface

Description

lcmm interface

Usage

## S4 method for signature 'lcMethodLcmmGMM'
getArgumentDefaults(object)

## S4 method for signature 'lcMethodLcmmGMM'
getArgumentExclusions(object)

## S4 method for signature 'lcMethodLcmmGMM'
getCitation(object, ...)

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

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

## S4 method for signature 'lcMethodLcmmGMM'
validate(method, data, envir = NULL, ...)

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

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

## S4 method for signature 'lcMethodLcmmGMM'
responseVariable(object, ...)

## S4 method for signature 'lcMethodLcmmGBTM'
getArgumentDefaults(object)

## S4 method for signature 'lcMethodLcmmGBTM'
getArgumentExclusions(object)

## S4 method for signature 'lcMethodLcmmGBTM'
getCitation(object, ...)

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

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

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

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

## S4 method for signature 'lcMethodLcmmGBTM'
responseVariable(object, ...)

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

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

## S3 method for class 'lcModelLcmmGMM'
model.matrix(object, ..., what = "mu")

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

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

## S3 method for class 'lcModelLcmmGMM'
nobs(object, ...)

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

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

Arguments

object	The object.
...	Not used.
method	An object inheriting from lcMethod with all its arguments having been evaluated and finalized.
data	A data.frame representing the transformed training data.
envir	The environment containing variables generated by prepareData() and preFit().
verbose	A R.utils::Verbose object indicating the level of verbosity.
clusters	Optional cluster assignments per id. If unspecified, a matrix is returned containing the cluster-specific predictions per column.
newdata	A data.frame of trajectory data for which to compute trajectory assignments.
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'.

See Also

lcMethodLcmmGBTM lcMethodLcmmGMM lcmm-package

latrend documentation built on May 29, 2024, 8:51 a.m.