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.
- Version1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release11/18/2020
Team
Wan Zhang
Andreas Buja
Show author detailsRolesAuthorKai Zhang
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