Valid Post-Selection Inference for Linear LS Regression R package PoSI version 1.1 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. Software Suggests: MASS Wan Zhang <wanz63@live.unc.edu> Comprehensive R Archive Network (CRAN) Andreas Buja [aut], Kai Zhang [aut], Wan Zhang [cre] GPL-3 2020-11-18 application/tgz https://CRAN.R-project.org/package=PoSI doi:10.32614/CRAN.package.PoSI