reams-package: Resampling-based adaptive model selection

In reams: Resampling-Based Adaptive Model Selection

Description

Resampling methods for adaptive linear model selection. These can be thought of as extensions of the Akaike information criterion that account for searching among candidate models. A number of functions in the package depend crucially on the leaps package, whose authors are gratefully acknowledged.

Details

For a complete list of functions type library(help=reams).

Author(s)

Philip Reiss <[e-mail]> and Lei Huang <[e-mail]>

Maintainer: Tao Zhang <[e-mail]>

reams documentation built on May 2, 2019, 2:23 p.m.