Man pages for karchjd/gppm
Gaussian Process Panel Modeling

accuracyAccuracy Estimates for Predictions
coef.GPPMPoint Estimates
confint.GPPMConfidence Intervals
covfCovariance Function
createLeavePersonsOutFoldsCreate Leave-persons-out Folds
crossvalidateCross-validation.
datasData Set
demoLGCMSimulated Data From a Latent Growth Curve Model.
fitGeneric Method For Fitting a model
fit.GPPMFit a Gaussian process panel model
fitted.GPPMPerson-specific mean vectors and covariance matrices
getInternGeneric Extraction Function
gppmDefine a Gaussian process panel model
gppmControlDefine settings for a Gaussian process panel model
logLik.GPPMLog-Likelihood
maxnObsMaximum Number of Observations per Person
meanfMean Function
nObsNumber of Observations
nParsNumber of Parameters
nPersNumber of persons
nPredsNumber of Predictors
parEstsEssential Parameter Estimation Results
parsParameter Names
plot.GPPMPredPlotting predictions
plot.LongDataPlot a Long Data Frame
predict.GPPMGPPM predictions
predsPredictors Names
SEStandard Errors
simulate.GPPMSimulate from a Gaussian process panel model
summary.GPPMSummarizing GPPM
trueParasParameters used for generating 'demoLGCM'.
vcov.GPPMVariance-Covariance Matrix
karchjd/gppm documentation built on Aug. 5, 2018, 12:05 a.m.