measures_loglik: Selection criteria based on maximized log-likelihood function...

In agathasr/srplv: Parametric models for estimating the lifetime distribution of a component from superposed renewal processes by means of latent variables.

Description

measures_loglik calculates the AIC, AICc, BIC, HQIC, CAIC measures.

Usage

measures_loglik(n, npar, loglik)

Arguments

n	Number of systems.
npar	Number of the parameters.
loglik	Maximized log-likelihood function value returned in EMalg.

Value

A list with the following components:

loglik	The maximized log-likelihood function value.
aic	AIC (The Akaike Information Criterion).
aicc	AICc (The corrected Akaike Information Criterion).
bic	BIC (The Bayesian Information Criterion).
hqic	HQIC (The Hannan-Quinn Information Criterion).
caic	CAIC (The Consistent Akaike Information Criterion).

agathasr/srplv documentation built on May 17, 2020, 12:21 a.m.