lcMethodMclustLLPA: Longitudinal latent profile analysis

In latrend: A Framework for Clustering Longitudinal Data

Longitudinal latent profile analysis

Description

Latent profile analysis or finite Gaussian mixture modeling.

Usage

lcMethodMclustLLPA(
  response,
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  nClusters = 2,
  ...
)

Arguments

response	The name of the response variable.
time	The name of the time variable.
id	The name of the trajectory identifier variable.
nClusters	The number of clusters to estimate.
...	Arguments passed to mclust::Mclust. The following external arguments are ignored: data, G, verbose.

References

\insertRef

scrucca2016mclustlatrend

See Also

Other lcMethod implementations: getArgumentDefaults(), getArgumentExclusions(), lcMethod-class, lcMethodAkmedoids, lcMethodCrimCV, lcMethodDtwclust, lcMethodFeature, lcMethodFunFEM, lcMethodFunction, lcMethodGCKM, lcMethodKML, lcMethodLMKM, lcMethodLcmmGBTM, lcMethodLcmmGMM, lcMethodMixAK_GLMM, lcMethodMixtoolsGMM, lcMethodMixtoolsNPRM, lcMethodRandom, lcMethodStratify

Examples

data(latrendData)
if (require("mclust")) {
  method <- lcMethodMclustLLPA("Y", id = "Id", time = "Time", nClusters = 3)
  model <- latrend(method, latrendData)
}

latrend documentation built on March 31, 2023, 5:45 p.m.