Specify non-parametric estimation for independent repeated measures

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,
  ...
)

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.

blockid

See mixtools::npEM.

bw

See mixtools::npEM.

h

See mixtools::npEM.

...

Arguments passed to mixtools::npEM. The following optional arguments are ignored: data, x, mu0, verb.

References

Benaglia T, Chauveau D, Hunter DR, Young D (2009). “mixtools: An R Package for Analyzing Finite Mixture Models.” Journal of Statistical Software, 32(6), 1--29. doi:10.18637/jss.v032.i06 .

See also

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

Examples

data(latrendData)

if (require("mixtools")) {
  method <- lcMethodMixtoolsNPRM("Y", id = "Id", time = "Time", nClusters = 3)
  model <- latrend(method, latrendData)
}