latrend (version 1.1.0)

lcMethodCrimCV: 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

nielsen2018crimcvlatrend

See Also

Other lcMethod implementations: lcMethod-class, lcMethodAkmedoids, lcMethodCustom, lcMethodDtwclust, lcMethodFeature, lcMethodFunFEM, lcMethodGCKM, lcMethodKML, lcMethodLMKM, lcMethodLcmmGBTM, lcMethodLcmmGMM, lcMethodLongclust, lcMethodMclustLLPA, lcMethodMixAK_GLMM, lcMethodMixtoolsGMM, lcMethodMixtoolsNPRM, lcMethodRandom, lcMethodStratify

Examples

# NOT RUN {
library(crimCV)
data(latrendData)
method <- lcMethodCrimCV("Y", id = "Id", time = "Time", nClusters = 3, dpolyp = 1, init = 2)
model <- latrend(method, data = subset(latrendData, Time > .5))
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, ])
# }