logLik1: Calculates contribution of one subject to the log-likelihood

In nlmeU: Datasets and utility functions enhancing functionality of nlme package.

Description

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

Usage

  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(s)

Andrzej Galecki and Tomasz Burzykowski

References

???

Examples

require(nlme)
  logLik(fm1 <- lme(distance ~ age, data = Orthodont)) # random is ~ age
  dt1 <- subset(Orthodont, Subject == "M01")
  logLik1(fm1, dt1)

nlmeU documentation built on May 2, 2019, 6:50 p.m.