gppm (version 0.3.0)

logLik.GPPM: Log-Likelihood

Description

Compute the log-likelihood for a GPPM at the maximum likelihood parameter values.

Usage

# S3 method for GPPM
logLik(object, ...)

Value

Returns an object of class logLik. Attributes are: "df" (degrees of freedom; number of estimated parameters in the model) and nobs (number of persons in the model)

Arguments

object

object of class GPPM. Must be fitted, that is, a result from fit.GPPM.

...

additional arguments (currently not used).

See Also

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

Examples

# \donttest{
data("demoLGCM")
lgcm <- gppm(
  "muI+muS*t", "varI+covIS*(t+t#)+varS*t*t#+(t==t#)*sigma",
  demoLGCM, "ID", "y"
)
lgcmFit <- fit(lgcm)
ll <- logLik(lgcmFit)
# }