lcMethodCrimCV: Specify a zero-inflated repeated-measures GBTM method

In latrend: A Framework for Clustering Longitudinal Data

Specify a zero-inflated repeated-measures GBTM method

Description

Specify a zero-inflated repeated-measures GBTM method

Usage

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

\insertRef

nielsen2018crimcvlatrend

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"
## Not run: 
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, ])
}

## End(Not run)

latrend documentation built on March 31, 2023, 5:45 p.m.