lcMethodMixTVEM {latrend}

Specify a MixTVEM

Description

Specify a MixTVEM

Usage

lcMethodMixTVEM(
  formula,
  formula.mb = ~1,
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  nClusters = 2,
  ...
)

Arguments

formula

A formula excluding the time component. Time-invariant covariates are detected automatically as these are a special case in MixTVEM.

formula.mb

A formula for cluster-membership prediction. Covariates must be time-invariant. Furthermore, the formula must contain an intercept.

time

The name of the time variable.

id

The name of the trajectory identifier variable.

nClusters

The number of clusters. This replaces the numClasses argument of the TVEMMixNormal function call.

...

Arguments passed to the TVEMMixNormal() function. The following optional arguments are ignored: doPlot, getSEs, numClasses.

Note

In order to use this method, you must download and source MixTVEM.R. See the reference below.

References

https://github.com/dziakj1/MixTVEM

Dziak JJ, Li R, Tan X, Shiffman S, Shiyko MP (2015). “Modeling intensive longitudinal data with mixtures of nonparametric trajectories and time-varying effects.” Psychological Methods, 20(4), 444–469. ISSN 1939-1463.

Examples

# this example only runs if you download and place MixTVEM.R in your wd
try({
  source("MixTVEM.R")
  method = lcMethodMixTVEM(
    Value ~ time(1) - 1,
    time = 'Assessment',
    id = "Id",
    nClusters = 3
  )
})