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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

Install

install.packages('reams')

Monthly Downloads

9

Version

0.1

License

GPL (>= 2)

Maintainer

Tao Zhang

Last Published

October 29th, 2012

Functions in reams (0.1)

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