beta.weights - computes standardized coefficients (beta weights) for
a model;coeffs - extracts model coefficients;
getAllTerms - extracts independent variable names from a model object;
tTable - extracts a table of coefficients,
standard errors, and p-values from a model object;
Weights - calculates Akaike weights (normalized relative likelihoods)
beta.weights(model)
coeffs(model)
getAllTerms(x, ...)
## S3 method for class 'terms':
getAllTerms(x, offset = TRUE, ...)
tTable(model, ...)
Weights(aic, ...)cbindDataFrameList(x)
rbindDataFrameList(x)
formula.
for *bindDataFrameList, a list of data.framescoeffs, getAllTerms and tTable provide an
interface between the model and model.avg (as well as dredge).
Custom methods can be written to provide support for additional classes of
models. Also, a logLik method must exist for the object.dredge