Package: PoSI
Type: Package
Title: Valid Post-Selection Inference for Linear LS Regression
Version: 1.1
Date: 2020-11-04
Authors@R: c(person("Andreas", "Buja", role = "aut"),
              person("Kai", "Zhang", role = "aut"),
              person("Wan", "Zhang", role = "cre",
                     email = "wanz63@live.unc.edu"))
Description: 
  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.
Suggests: MASS
License: GPL-3
NeedsCompilation: no
Repository: CRAN
Packaged: 2020-11-12 16:31:59 UTC; zhangwan
Author: Andreas Buja [aut],
  Kai Zhang [aut],
  Wan Zhang [cre]
Maintainer: Wan Zhang <wanz63@live.unc.edu>
Date/Publication: 2020-11-18 10:30:07 UTC
Built: R 4.6.0; ; 2026-04-25 21:16:32 UTC; unix
