Calculates contribution of one subject to the log-likelihood

This function is generic; method functions can be written to handle specific classes of objects.

logLik1(modfit, dt1, dtInit)

Arguments

modfit

an object representing model fitted to data using ML estimation.

dt1

a data frame with data for one subject, for whom the log-likelihood function is to be evaluated

dtInit

an optional auxiliary data frame.

Value

numeric scalar value representing contribution of a given subject to the overall log-likelihood returned by logLik() function.

Author

Andrzej Galecki and Tomasz Burzykowski

References

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Examples

require(nlme)
#> Loading required package: nlme
  logLik(fm1 <- lme(distance ~ age, data = Orthodont)) # random is ~ age
#> 'log Lik.' -221.3183 (df=6)
  dt1 <- subset(Orthodont, Subject == "M01")
  logLik1(fm1, dt1)
#> [1] -8.980609