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 class 'terms':
getAllTerms(x, offset = TRUE, intercept = FALSE, ...)
coefTable(model, ...)
## S3 method for class 'averaging':
coefTable(model, full = FALSE, adjust.se = TRUE, ...)
## 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
."averaging"
objects. If full
is
TRUE
, the full model averaged coefficients are returned, and
subset-averaged ones otherwise.
If adjust.se
is TRUE
, inflated stsummary.lme
."naive"
or "robust"
(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 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.