These functions are used by bess to compute Information Criteria from a fitted model object.
Usage
aic(object,...)
bic(object,...)
ebic(object,...)
Value
The value of Information Criteria extracted from the "bess" object.
Arguments
object
Output from the bess function or the bess.one function.
...
Additional arguments affecting the predictions produced.
Author
Canhong Wen, Aijun Zhang, Shijie Quan, and Xueqin Wang.
References
Wen, C., Zhang, A., Quan, S. and Wang, X. (2020). BeSS: An R Package for Best Subset Selection in Linear, Logistic and Cox Proportional Hazards Models, Journal of Statistical Software, Vol. 94(4). doi:10.18637/jss.v094.i04.