Package: PoSI 1.1

PoSI: 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.

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

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Last updated 4 years agofrom:64415070ed. Checks:OK: 7. Indexed: yes.

Exports:PoSIsummary.PoSI

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