'Post-Hoc Analyses for Growth curve models

I am using growth curve models to see if two groups differ in symptoms over treatment. There is a sig interaction of group*time. I am wanting to do a post hoc analyses to see the means and SD at each time point for each group. What would the code be for that? This is the model

Model5 <- lme(
  edeqGlobal_mean ~ Time_Point + dx_cur + dx_cur*Time_Point,
  data=LongData, 
  random=~Time_Point|ID, 
  method="ML", 
  na.action=na.exclude, 
  control=c(optim="optim", maxIter = 250, niterEM=250)
)
rposthocmlmjava


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