Stores the output of the search for the model with best information
criterion value, e.g. produced by bestBIC, bestBIC,
bestAIC or bestIC.
The class extends a list, so all usual methods for lists also work for
icfit objects, e.g. accessing elements, retrieving names etc.
Methods are provided to extract coefficients, predictions, confidence intervals and summary information about the best model.
icfit objects are automatically created by a call to
bestBIC or similar.
The class extends a list with elements:
names of the variables in the top model
top model as fitted by glm
data frame with the information criterion for all models (when enumeration is feasible) or those visited by an MCMC model search in modelSelection (when enumeration is not feasible)
the names of all variables in the design matrix
Output of modelSelection (used to search the top model)
glm fit for the top model
Confidence intervals under the top model
Predictions for the top model (predict.glm)
signature(object = "icfit"): Displays general information about the object.
David Rossell
See also bestBIC.