Longitudinal latent profile analysis

Latent profile analysis or finite Gaussian mixture modeling.

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

Scrucca L, Fop M, Murphy TB, Raftery AE (2016). “mclust 5: clustering, classification and density estimation using Gaussian finite mixture models.” The R Journal, 8(1), 205--233.

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)
}
#> Loading required package: mclust
#> Package 'mclust' version 6.1
#> Type 'citation("mclust")' for citing this R package in publications.