Specify a zero-inflated repeated-measures GBTM method

Specify a zero-inflated repeated-measures GBTM method

lcMethodCrimCV(
  response,
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  nClusters = 2,
  ...
)

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.

...

Arguments passed to crimCV::crimCV. The following external arguments are ignored: Dat, ng.

References

Nielsen JD (2018). crimCV: Group-Based Modelling of Longitudinal Data. R package version 0.9.6, https://CRAN.R-project.org/package=crimCV.

See also

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

Examples

# This example is not tested because crimCV sometimes fails
# to converge and throws the error "object 'Frtr' not found"
if (FALSE) {
data(latrendData)
if (require("crimCV")) {
  method <- lcMethodCrimCV("Y", id = "Id", time = "Time", nClusters = 3, dpolyp = 1, init = 2)
  model <- latrend(method, data = subset(latrendData, Time > .5))

  if (require("ggplot2")) {
    plot(model)
  }

  data(TO1adj)
  method <- lcMethodCrimCV(response = "Offenses", time = "Offense", id = "Subject",
    nClusters = 2, dpolyp = 1, init = 2)
  model <- latrend(method, data = TO1adj[1:100, ])
}
}