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;
get.response
extracts response variable from fitted model object;
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"))
get.response(x, ...)
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. Therefore changing the
order of the models leads to dimodel.names
, more fitted model objects.
For coefTable
arguments that are passed to appropriate vcov
or summary
method (e.g. dispersion
parameter for "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.