fitted.GPPM: Person-specific mean vectors and covariance matrices

In gppm: Gaussian Process Panel Modeling

Person-specific mean vectors and covariance matrices

Description

A fitted GPPM implies a mean vector and a covariance matrix for each person. These are returned by this function.

Usage

## S3 method for class 'GPPM'
fitted(object, ...)

Arguments

object	object of class GPPM. Must be fitted, that is, a result from fit.GPPM.
...	additional arguments (currently not used).

Value

Returns a list structure with mean and covariances matrices. See example.

See Also

Other functions to extract from a GPPM: SE(), coef.GPPM(), confint.GPPM(), covFun(), getData(), getIntern(), logLik.GPPM(), maxNObs(), meanFun(), nObs(), nPars(), nPers(), nPreds(), parEsts(), pars(), preds(), vcov.GPPM()

Examples

data("demoLGCM")
lgcm <- gppm(
  "muI+muS*t", "varI+covIS*(t+t#)+varS*t*t#+(t==t#)*sigma",
  demoLGCM, "ID", "y"
)
lgcmFit <- fit(lgcm)
meansCovs <- fitted(lgcmFit)

person1Mean <- meansCovs$mean[[1]]
person1Cov <- meansCovs$cov[[1]]
person1ID <- meansCovs$ID[[1]]

gppm documentation built on Aug. 25, 2025, 9:50 a.m.