AIC.oglmx: Akaike's An Information Criterion for 'oglm' objects

In linogaliana/oglm: Estimation of Ordered Generalized Linear Models

Description

Compute AIC for ordered and interval regression objects. See stats::AIC() for the rest

Usage

## S3 method for class 'oglmx'
AIC(object, ..., k = 2)

Arguments

object	a fitted model object for which there exists a logLik method to extract the corresponding log-likelihood, or an object inheriting from class logLik.
...	optionally more fitted model objects.
k	numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC.

Details

See stats::AIC()

See Also

stats::AIC(), stats::logLik(), stats::nobs()

linogaliana/oglm documentation built on March 5, 2021, 8:27 p.m.