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beta.weights
computes standardized coefficients (beta weights) for
a model;
coeffs
extracts model coefficients;
getAllTerms
extracts independent variable names from a model object;
coefTable
extracts a table of coefficients, standard errors and
associated degrees of freedom when possible;
model.names
generates shorthand numeric names for one or several fitted
models.
beta.weights(model)coeffs(model)
getAllTerms(x, ...)
## S3 method for class 'terms':
getAllTerms(x, offset = TRUE, intercept = FALSE, ...)
coefTable(model, ...)
## S3 method for class 'lme':
coefTable(model, adjustSigma, ...)
model.names(object, ..., labels = NULL)
formula
.model.names
enumerates the model terms in
order of their appearance in the list and in the models. So, changing the
order of the models would lead to difmodel.names
, more fitted model objects.
For coefTable
arguments that are passed to appropriate summary
method (e.g. dispersion
parameter for glm
may be used here).
In other functions summary.lme
.coeffs
, getAllTerms
and coefTable
provide
interface between the model object and model.avg
(and
dredge
). Custom methods can be written to provide support for
additional classes of models. The vignette