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Calculate Log-Likelihood

Source: R/profileCI-logLikFn.R
logLikFn.Rd

This is a generic function for calculating a log-likelihood for an object at input parameter values.

Usage

logLikFn(object, pars, ...)

# S3 method for class 'glm'
logLikFn(object, pars, ...)

# S3 method for class 'nls'
logLikFn(object, pars, ...)

Arguments

object

A fitted model object.

pars

A numeric vector of parameters of the model.

...

Further arguments. None are used in the logLikFn.glm and logLikFn.nls generics.

Value

A numeric scalar. The value of the log-likelihood function for the fitted model object object for parameter values pars.

The logLikFn.glm generic is specifically for the unweighted Poisson log-linear GLM case.

The logLikFn.nls generic is more general and should work for all model objects returned by stats::nls.

Details

This generic function has been created to enable a function that calculates the log-likelihood for a parametric model at a given set of parameter values in pars to be available to the function profileCI.

See also

profileCI, stats::glm, stats::nls.