These functions extract or calculate various values from provided fitted model objects(s). They are mainly meant for internal use.
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.
coeffs(model)getAllTerms(x, ...)
# S3 method for terms
getAllTerms(x, offset = TRUE, intercept = FALSE, ...)
coefTable(model, ...)
# S3 method for averaging
coefTable(model, full = FALSE, adjust.se = TRUE, ...)
# S3 method for lme
coefTable(model, adjustSigma, ...)
# S3 method for gee
coefTable(model, ..., type = c("naive", "robust"))
get.response(x, ...)
model.names(object, ..., labels = NULL, use.letters = FALSE)
a fitted model object.
a fitted model object or a list of such objects.
a fitted model object or a formula.
should ‘offset’ terms be included?
should terms names include the intercept?
logical, apply to "averaging" objects. If full is
TRUE, the full model averaged coefficients are returned, and
subset-averaged ones otherwise.
If adjust.se is TRUE, inflated standard errors are returned.
See ‘Details’ in par.avg.
See summary.lme.
for GEE models, the type of covariance estimator to calculate
returned standard errors on. Either "naive" or "robust"
(‘sandwich’).
optionally, a character vector with names of all the terms,
e.g. from a global model. 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 different names. Providing labels
prevents that.
for model.names, more fitted model objects.
For coefTable arguments that are passed to appropriate vcov
or summary method (e.g. dispersion parameter for glm may
be used here). In other functions often not used.
logical, whether letters should be used instead of numeric codes.
The functions 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.