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

In agathasr/rsmd: Fits the weibull, gamma, lognormal or loglogistic model for repairable system with masked data.

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 parameters.
loglik	Maximized log-likelihood function value returned in EMalg.

Value

A list with the following components:

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

agathasr/rsmd documentation built on May 4, 2020, 4:09 p.m.