aic {BeSS} | R Documentation |
These functions are used by bess to compute Information Criteria from a fitted model object.
aic(object,...) bic(object,...) gic(object,...)
object |
Output from the |
... |
Additional arguments affecting the predictions produced. |
The value of Information Criteria extracted from the "bess" object.
Canhong Wen, Aijun Zhang, Shijie Quan, and Xueqin Wang.
Wen, C., Zhang, A., Quan, S. and Wang, X. (2017). BeSS: an R package for best subset selection in linear, logistic and CoxPH models. arXiv: 1709.06254.
data <- gen.data(500, 20, family = "gaussian", 10, 0.2, 1) fit <- bess(data$x, data$y, family = "gaussian") aic(fit) bic(fit) gic(fit)