R中的kmlcov包，用于纵向数据聚类，如何获得预测的聚类？

Question

library(kmlcov)
res <- glmClust(formula = latency ~ clust(time),
                data = data, ident = 'id', timeVar = 'time', nClust = 2)

如何为每个id获得它们所属的预测簇？

Answer 1

预测的群集在kmlcov包中称为 partition 。您可以通过以下方式获得它：

res <- glmClust(formula = Y ~ clust(time + time2 + time3) + pop(treatTime),
data = artifdata, ident = 'id', timeVar = 'time', effectVar = 'treatment', nClust = 4)

res@partition