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

In nlmeU: Functions and Data Supporting 'Linear Mixed-Effects Models: A Step-by-Step Approach'

Calculates contribution of one subject to the log-likelihood

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 a model fitted to data using maximum likelihood 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.

Details

Calculates contribution of one subject to the log-likelihood

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

Value

Numeric scalar value representing the contribution of a given subject to the overall log-likelihood returned by logLik.

Author(s)

Andrzej Galecki and Tomasz Burzykowski

References

Galecki, A., & Burzykowski, T. (2013). *Linear Mixed-Effects Models: A Step-by-Step Approach*. Springer.

Examples

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

nlmeU documentation built on Aug. 25, 2025, 5:12 p.m.