The data were simulated from a 3-latent class linear mixed model. Repeated data for 100 subjects were simulated. The three latent classes are predicted by X2 and X3. In each latent class, Y follows a linear mixed model including intercept and time both with correlated random-effects and class-specific fixed effects. In addition, X1 and X1*time have a common impact over classes on the Y trajectory.

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A data frame with 326 observations on the following 9 variables.

`ID`

subject identification number

`Y`

longitudinal outcome

`Time`

time of measurement

`X1`

binary covariate

`X2`

binary covariate

`X3`

binary covariate

`hlme`

, `postprob`

, `summary.lcmm`

, `plot.predict`

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