An object of class "model.selection"
holds a table of model
coefficients and ranking statistics. It is produced by dredge
or model.sel
.
The object is a data.frame
with additional attributes. Each row
represents one model. The models are ordered by the information criterion
value specified by rank
(lowest on top).
Data frame columns:
model terms 
For numeric covariates these columns hold coefficent value,
for factors their presence in the model. If the term is not present in a
model, value is 
‘varying’ arguments 
optional. If any arguments differ between the
modelling function calls (except for formulas and some other arguments),
these will be held in additional columns (of class 
"df" 
Number of model parameters 
"logLik" 
Loglikelihood (or quasilikelihood for GEE) 
rank 
Information criterion value 
"delta" 
Δ_IC 
"weight" 
‘Akaike weights’. 
Attributes:
model.calls 
A list containing model calls (arranged in
the same order as in the table). A model call can be retrieved with

global 
The 
global.call 
Call to the 
terms 
A character string holding all term names. Attribute

rank 
The 
beta 
A character string, representing the coefficient standardizing
method used. Either 
coefTables 
List of matrices of class 
nobs 
Number of observations 
warnings 
optional ( 
Most attributes does not need (and should not) be accessed directly, use of extractor
functions is preferred. These functions include getCall
for
retrieving model calls, coefTable
and coef
for coefficients,
and nobs
. logLik
extracts list of model loglikelihoods (as
"logLik"
objects), and Weights
extracts ‘Akaike
weights’.
The object has class c("model.selection", "data.frame")
.
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