accuracy: Accuracy Estimates for Predictions
In gppm: Gaussian Process Panel Modeling

Description Usage Arguments Value Examples

Estimate the accuracy based on predictions.

1	accuracy(predRes)

predRes

object of class GPPMPred as obtained by predict.GPPM

accuracy estimates in the form of the mean squared error (MSE), the negative log-predictive probability (nLPP), and the sum squared error (SSE)

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,])
accEsts <- accuracy(predRes)
accEsts$MSE #mean squared error
accEsts$nLPP #negative log-predictive probability