latrend (version 1.1.0)

lcMethodMixtoolsGMM: 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

benaglia2009mixtoolslatrend

See Also

Other lcMethod implementations: lcMethod-class, lcMethodAkmedoids, lcMethodCrimCV, lcMethodCustom, lcMethodDtwclust, lcMethodFeature, lcMethodFunFEM, lcMethodGCKM, lcMethodKML, lcMethodLMKM, lcMethodLcmmGBTM, lcMethodLcmmGMM, lcMethodLongclust, lcMethodMclustLLPA, lcMethodMixAK_GLMM, lcMethodMixtoolsNPRM, lcMethodRandom, lcMethodStratify

Examples

# NOT RUN {
library(mixtools)
data(latrendData)
method <- lcMethodMixtoolsGMM(
   formula = Y ~ Time + (1 | Id),
   id = "Id", time = "Time",
   nClusters = 3,
   arb.R = FALSE)
# }