Description Usage Arguments Value Examples
Obtain person-specific predictions.
1 2 |
object |
object of class GPPM. Must be fitted, that is, a result from |
newData |
a data frame with the same column names as the data frame used for generating |
... |
additional arguments (currently not used). |
Predictions of the dependent variable for all rows in newData. Conditional predictions for all persons in newData that are also present in the data used for fitting gpModel; unconditional predictions for others persons. See examples for format.
1 2 3 4 5 6 7 8 9 | data("demoLGCM")
#remove all measurements from person 1 and the first form person 2
predIdx <- c(which(demoLGCM$ID==1),which(demoLGCM$ID==2)[1])
fitDemoLGCM <- demoLGCM[setdiff(1:nrow(demoLGCM),predIdx),]
lgcm <- gppm('muI+muS*t','varI+covIS*(t+t#)+varS*t*t#+(t==t#)*sigma',
fitDemoLGCM,'ID','y')
lgcm <- fit(lgcm)
predRes <- predict(lgcm,demoLGCM[predIdx,])
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