Last data update: 2014.03.03
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reams
Package: reams
Type: Package
Title: Resampling-Based Adaptive Model Selection
Version: 0.1
Date: 2011-12-06
Author: Philip Reiss <phil.reiss@nyumc.org> and Lei Huang
<huangracer@gmail.com>
Maintainer: Tao Zhang <tao-zhang-1@uiowa.edu>
Depends: R (>= 2.9.0), leaps, mgcv
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.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2012-10-29 08:59:35 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:59:35
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0 images,
8 functions,
0 datasets
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Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'reams' ...
** package 'reams' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'reams'
finding HTML links ... done
bestmods html
cic html
cvic html
eic html
ic.min html
reams-package html
scoremods html
xy html
** building package indices
** testing if installed package can be loaded
* DONE (reams)
Making 'packages.html' ... done
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