| icfit-class {mombf} | R Documentation |
Class "icfit"
Description
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.
Objects from the Class
icfit objects are automatically created by a call to
bestBIC or similar.
Slots
The class extends a list with elements:
- topmodel
names of the variables in the top model
- topmodel.fit
top model as fitted by glm
- models
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)
- varnames
the names of all variables in the design matrix
- msfit
Output of modelSelection (used to search the top model)
Methods
- coef
glm fit for the top model
- confint
Confidence intervals under the top model
- predict
Predictions for the top model (predict.glm)
- show
signature(object = "icfit"): Displays general information about the object.
Author(s)
David Rossell
See Also
See also bestBIC.
Examples
showClass("icfit")