Valid Post-Selection Inference for Linear LS Regression

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.


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install.packages("PoSI")

1.1 by Wan Zhang, 10 months ago


Browse source code at https://github.com/cran/PoSI


Authors: Andreas Buja [aut] , Kai Zhang [aut] , Wan Zhang [cre]


Documentation:   PDF Manual  


GPL-3 license


Suggests MASS


See at CRAN