latrend: interface-mixtools – R documentation

Pricing

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

Get Started for Free

Documentation

latrend

interface-mixtools

mixtools interface

Description

mixtools interface

Usage

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

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

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

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

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

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

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

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

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

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

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

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

## S4 method for signature 'lcModelMixtoolsRM'
clusterTrajectories(
  object,
  at = time(object),
  what = "mu",
  se = TRUE,
  ci = c(0.025, 0.975),
  ...
)

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

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

## S4 method for signature 'lcModelMixtoolsRM'
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.
`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'`.
`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.
`se`	Whether to compute the standard error of the prediction.
`ci`	The confidence interval to compute.

interface-mixtools

Description

Usage

Arguments

See Also

latrend

We don't support your browser anymore