latrend: lcMethodMixTVEM – R documentation

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latrend

lcMethodMixTVEM

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, 444–469. doi: 10.1037/met0000048.

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)
})

latrend

A Framework for Clustering Longitudinal Data

v1.1.2

GPL (>= 2)

Authors

Initial release

2021-04-14

lcMethodMixTVEM

Description

Usage

Arguments

Note

References

Examples

latrend

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