lcMethodMixtoolsGMM: Specify mixed mixture regression model using mixtools

In philips-software/latrend: A Framework for Clustering Longitudinal Data

Specify mixed mixture regression model using mixtools

Description

Specify mixed mixture regression model using mixtools

Usage

lcMethodMixtoolsGMM(
  formula,
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  nClusters = 2,
  ...
)

Arguments

formula	Formula, including a random effects component for the trajectory. See lme4::lmer formula syntax.
time	The name of the time variable..
id	The name of the trajectory identifier variable.
nClusters	The number of clusters.
...	Arguments passed to mixtools::regmixEM.mixed. The following arguments are ignored: data, y, x, w, k, addintercept.fixed, verb.

References

\insertRef

benaglia2009mixtoolslatrend

See Also

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

Examples

data(latrendData)

if (require("mixtools")) {
  method <- lcMethodMixtoolsGMM(
    formula = Y ~ Time + (1 | Id),
    id = "Id", time = "Time",
    nClusters = 3,
    arb.R = FALSE
  )
}

philips-software/latrend documentation built on July 16, 2025, 5:43 p.m.