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In linear LS regression, calculate for a given design matrix the multiplier K of coefficient standard errors such that the confidence intervals [b  K*SE(b), b + K*SE(b)] have a guaranteed coverage probability for all coefficient estimates b in any submodels after performing arbitrary model selection.
Package details 


Author  Andreas Buja, Kai Zhang 
Maintainer  Kai Zhang <[email protected]> 
License  GPL3 
Version  1.0 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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