Extract the (Maximized) Log-Likelihood from a COM-Poisson Model Fit

An accessor function used to extract the (maximized) log-likelihood from a 'cmp' object.

Usage

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

# S3 method for class 'logLik.cmp'
print(x, ...)

Arguments

object

an object of class 'cmp' object, obtained from a call to glm.cmp

...

other arguments passed to or from other methods (currently unused).

x

an object of class 'logLik.cmp', obtained from a call to logLik.cmp.

Value

logLik.cmp returns an object of class "logLik.cmp": the maximized log-likelihood value with a "df" attribute giving the number of estimated parameters, analogous to logLik.

print.logLik.cmp is called for its side effect of printing and returns x invisibly.

See also

coef.cmp, fitted.cmp, glm.cmp