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reams (version 0.1)
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.
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Version
Version
0.1
Install
install.packages('reams')
Monthly Downloads
16
Version
0.1
License
GPL (>= 2)
Maintainer
Tao Zhang
Last Published
October 29th, 2012
Functions in reams (0.1)
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bestmods
Find best submodels of a full linear model
cvic
Cross-validation information criterion
cic
Covariance inflation criterion
ic.min
AIC, corrected AIC and BIC for all-subsets linear regression
scoremods
Score best subsets by information criteria
xy
Random generation of linear model matrix and outcomes
reams-package
Resampling-based adaptive model selection
eic
Extended (bootstrap) information criterion
plursim
Perform a pluralistic model selection simulation study