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: 2011-12-15
Author: Philip Reiss and Lei Huang
Maintainer: Tao Zhang <tao-zhang-1 at uiowa.edu>
License: GPL (≥ 2)
CRAN checks: reams results

Downloads:

Package source: reams_0.1.tar.gz
MacOS X binary: reams_0.1.tgz
Windows binary: reams_0.1.zip
Reference manual: reams.pdf
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