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 (alpha)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, ...)
## S3 method for class 'gee':
coefTable(model, ..., type = c("naive", "robust"))
model.names(object, ..., labels = NULL, use.letters = FALSE)
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 "naive"
or "robust"
(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.