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Specify non-parametric estimation for independent repeated measures
lcMethodMixtoolsNPRM( response, time = getOption("latrend.time"), id = getOption("latrend.id"), nClusters = 2, blockid = NULL, bw = NULL, h = NULL, ... )
The name of the response variable.
The name of the time variable.
The name of the trajectory identifier variable.
The number of clusters to estimate.
See mixtools::npEM.
Arguments passed to mixtools::npEM. The following optional arguments are ignored: data, x, mu0, verb.
benaglia2009mixtoolslatrend
Other lcMethod implementations: getArgumentDefaults(), getArgumentExclusions(), lcMethod-class, lcMethodAkmedoids, lcMethodCrimCV, lcMethodDtwclust, lcMethodFeature, lcMethodFunFEM, lcMethodFunction, lcMethodGCKM, lcMethodKML, lcMethodLMKM, lcMethodLcmmGBTM, lcMethodLcmmGMM, lcMethodMclustLLPA, lcMethodMixAK_GLMM, lcMethodMixtoolsGMM, lcMethodRandom, lcMethodStratify
getArgumentDefaults()
getArgumentExclusions()
lcMethod-class
lcMethodAkmedoids
lcMethodCrimCV
lcMethodDtwclust
lcMethodFeature
lcMethodFunFEM
lcMethodFunction
lcMethodGCKM
lcMethodKML
lcMethodLMKM
lcMethodLcmmGBTM
lcMethodLcmmGMM
lcMethodMclustLLPA
lcMethodMixAK_GLMM
lcMethodMixtoolsGMM
lcMethodRandom
lcMethodStratify
data(latrendData) if (require("mixtools")) { method <- lcMethodMixtoolsNPRM("Y", id = "Id", time = "Time", nClusters = 3) model <- latrend(method, latrendData) }
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