reams: Resampling-Based Adaptive Model Selection

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.

Version: 0.1
Depends: R (≥ 2.9.0), leaps, mgcv
Published: 2012-10-29
Author: Philip Reiss and Lei Huang
Maintainer: Tao Zhang <tao-zhang-1 at uiowa.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: reams results

Downloads:

Reference manual: reams.pdf
Package source: reams_0.1.tar.gz
Windows binaries: r-devel: reams_0.1.zip, r-release: reams_0.1.zip, r-oldrel: reams_0.1.zip
OS X Snow Leopard binaries: r-release: reams_0.1.tgz, r-oldrel: reams_0.1.tgz
OS X Mavericks binaries: r-release: reams_0.1.tgz