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, when
possible, associated p-values from a model object;
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, dispersion = NULL, ...)
tTable(model, ...) # deprecated
model.names(object, ..., labels = NULL)
glm only. See summary.glm.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.
In other functions often not used.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