bbmle (version 0.8.9)

ICtab: Compute table of information criteria and auxiliary info

Description

Computes information criteria for a series of models, optionally giving information about weights, differences between ICs, etc.

Usage

ICtab(..., type=c("AIC","BIC","AICc","qAIC","qAICc"),
    weights = FALSE, delta = FALSE, sort = FALSE,
nobs, dispersion = 1, mnames, k = 2)
AICtab(...)
BICtab(...)
AICctab(...)
## S3 method for class 'ICtab':
print(x,\dots)

Arguments

...

a list of (logLik or?) mle objects; in the case of AICtab etc., could also include other arguments to ICtab

type

specify information criterion to use

weights

(logical) compute IC weights?

delta

(logical) compute differences among ICs?

sort

(logical) sort ICs in increasing order?

nobs

(integer) number of observations: required for type="BIC" or type="AICc" unless objects have an "nobs" attribute

dispersion

overdispersion estimate, for computing qAIC: required for type="qAIC" or type="qAICc" unless objects have a "dispersion" attribute

mnames

names for table rows: defaults to names of objects passed

k

penalty term (largely unused)

x

an ICtab object

Value

• A data frame containing:
• IC
  information criterion
• df
  degrees of freedom/number of parameters
• dIC
  difference in IC from minimum-IC model
• weights
  exp(-dIC/2)/sum(exp(-dIC/2))

References

Burnham and Anderson 2002