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.
Version: 1.1 Suggests: MASS Published: 2020-11-18 DOI: 10.32614/CRAN.package.PoSI Author: Andreas Buja [aut], Kai Zhang [aut], Wan Zhang [cre] Maintainer: Wan Zhang <wanz63 at live.unc.edu> License: GPL-3 NeedsCompilation: no CRAN checks: PoSI results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=PoSI to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4