criteria {plrs} | R Documentation |
plrs
model.
Extract AIC, AICC, BIC and OSAIC from an object of class plrs-class
.
criteria(obj, crit = "all")
obj |
object of class |
crit |
A |
A list
with the following components (if specified):
aic |
Akaike's information criterion |
aicc |
Small sample correction of AIC |
bic |
Bayesian Information Criterion |
osaic |
One-Sided AIC. See Hughes and King (2003) for more details. |
Gwenael G.R. Leday g.g.r.leday@vu.nl
Hughes, A. W. and King, M. L. (2003). Model selection using AIC in the presence of one-sided information. J Stat Plan Infer, 115(2): 397 411.
# Simulate data sim <- plrs.sim(n=80, states=4, sigma=0.5) # Fit model <- plrs(expr=sim$expr, cghseg=sim$seg, cghcall=sim$cal) criteria(model)