logLik.egf: Extract the Log (Marginal) Likelihood

In davidearn/epigrowthfit: Nonlinear Mixed Effects Models of Epidemic Growth

Extract the Log (Marginal) Likelihood

Description

Extracts from a model object the value of the log marginal likelihood. Whether the result represents a local maximum depends on, among other things, convergence of the optimizer.

Usage

## S3 method for class 'egf'
logLik(object, ...)

Arguments

object	an egf object.
...	unused optional arguments.

Value

A numeric vector of length 1 inheriting from class logLik. Attribute df is the number of estimated parameters (fixed effect coefficients and random effect covariance parameters). Attribute nobs is the number of observations of disease incidence used in estimation.

See Also

The generic function logLik.

davidearn/epigrowthfit documentation built on Feb. 22, 2025, 12:44 p.m.