| BIC-methods {bbmle} | R Documentation |
Various functions for likelihood-based and information-theoretic model selection of likelihood models
## S4 method for signature 'ANY, mle2, logLik': BIC(object,...,nobs)
object |
A logLik or mle2 object |
... |
An optional list of additional logLik
or mle2 objects (fitted to the same data set) |
nobs |
Number of observations |
Further arguments to BIC can be specified
in the ... list: delta (logical)
specifies whether to include a column for delta-BIC
in the output.
A table of the BIC values, degrees of freedom, and possibly delta-BIC values relative to the minimum-BIC model
signature(object = "mle2"): Extract maximized
log-likelihood.signature(object = "mle2"): Calculate
Akaike Information Criterionsignature(object = "mle2"): Calculate
small-sample corrected Akaike Information Criterionsignature(object = "mle2"): Calculate
Bayesian (Schwarz) Information Criterionsignature(object = "logLik"): Calculate
Bayesian (Schwarz) Information Criterionsignature(object = "ANY"): Calculate
Bayesian (Schwarz) Information Criterionsignature(object="mle2"): Likelihood Ratio Test
comparision of different modelsThis is implemented in an ugly way and could probably be improved!