accuracy | Accuracy Estimates for Predictions |
coef.GPPM | Point Estimates |
confint.GPPM | Confidence Intervals |
covf | Covariance Function |
createLeavePersonsOutFolds | Create Leave-persons-out Folds |
crossvalidate | Cross-validation. |
datas | Data Set |
demoLGCM | Simulated Data From a Latent Growth Curve Model. |
fit | Generic Method For Fitting a model |
fit.GPPM | Fit a Gaussian process panel model |
fitted.GPPM | Person-specific mean vectors and covariance matrices |
getIntern | Generic Extraction Function |
gppm | Define a Gaussian process panel model |
gppmControl | Define settings for a Gaussian process panel model |
logLik.GPPM | Log-Likelihood |
maxnObs | Maximum Number of Observations per Person |
meanf | Mean Function |
nObs | Number of Observations |
nPars | Number of Parameters |
nPers | Number of persons |
nPreds | Number of Predictors |
parEsts | Essential Parameter Estimation Results |
pars | Parameter Names |
plot.GPPMPred | Plotting predictions |
plot.LongData | Plot a Long Data Frame |
predict.GPPM | GPPM predictions |
preds | Predictors Names |
SE | Standard Errors |
simulate.GPPM | Simulate from a Gaussian process panel model |
summary.GPPM | Summarizing GPPM |
trueParas | Parameters used for generating 'demoLGCM'. |
vcov.GPPM | Variance-Covariance Matrix |
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