Description of Model Selection Objects
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" |
Log-likelihood (or quasi-likelihood 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 log-likelihoods (as
"logLik" objects), and Weights extracts ‘Akaike
weights’.
The object has class c("model.selection", "data.frame").
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