AIC.lcc | R Documentation |
lcc
Object.Calculate the Akaike's 'An Information Criterion' or
the BIC or SBC (Schwarz's Bayesian criterion) for an object of
class lcc
.
## S3 method for class 'lcc' AIC(object, ..., k = 2) ## S3 method for class 'lcc' BIC(object, ...)
object |
an object inheriting from class |
... |
optional arguments passed to the |
k |
numeric value, use as penalty coefficient for the number of
parameters in the fitted model; the default |
A numeric value with the corresponding AIC or BIC
value. See methods for AIC
objects to get more
details.
Thiago de Paula Oliveira, thiago.paula.oliveira@alumni.usp.br
lcc
, summary.lcc
,
coef.lcc
, vcov.lcc
## Not run: attach(simulated_hue) fm6 <- lcc(data = simulated_hue, subject = "Fruit", resp = "Hue", method = "Method", time = "Time", qf = 2, qr = 1, components = TRUE, time_lcc = list(n=50, from=min(Time), to=max(Time))) AIC(fm6) BIC(fm6) ## End(Not run)
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