aic: Extract the IC from a "bess" object.

In scrcss319/BeSS: Best Subset Selection in Linear, Logistic and CoxPH Models

Description

These functions are used by bess to compute Information Criteria from a fitted model object.

Usage

  aic(object,...)
  bic(object,...)
  ebic(object,...)

Arguments

object	Output from the bess function or the bess.one function.
...	Additional arguments affecting the predictions produced.

Value

The value of Information Criteria extracted from the "bess" object.

Author(s)

Canhong Wen, Aijun Zhang, Shijie Quan, and Xueqin Wang.

References

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.

See Also

bess, bess.one

Examples

data <- gen.data(500, 20, family = "gaussian", 10, 0.2, 1)
fit <- bess(data$x, data$y, family = "gaussian")
aic(fit)
bic(fit)
ebic(fit)

scrcss319/BeSS documentation built on May 18, 2019, 9:14 p.m.