Specify mixed mixture regression model using mixtools
Specify mixed mixture regression model using mixtools
lcMethodMixtoolsGMM(
formula,
time = getOption("latrend.time"),
id = getOption("latrend.id"),
nClusters = 2,
...
)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. |
Benaglia T, Chauveau D, Hunter DR, Young D (2009). “mixtools: An R Package for Analyzing Finite Mixture Models.” Journal of Statistical Software, 32, 1–29. https://www.jstatsoft.org/v32/i06/.
Other lcMethod implementations:
lcMethod-class,
lcMethodAkmedoids,
lcMethodCrimCV,
lcMethodCustom,
lcMethodDtwclust,
lcMethodFeature,
lcMethodFunFEM,
lcMethodGCKM,
lcMethodKML,
lcMethodLMKM,
lcMethodLcmmGBTM,
lcMethodLcmmGMM,
lcMethodLongclust,
lcMethodMclustLLPA,
lcMethodMixAK_GLMM,
lcMethodMixtoolsNPRM,
lcMethodRandom,
lcMethodStratify
library(mixtools) data(latrendData) method <- lcMethodMixtoolsGMM( formula = Y ~ Time + (1 | Id), id = "Id", time = "Time", nClusters = 3, arb.R = FALSE)
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