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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 |
| 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 |
| Reference manual: | PoSI.pdf |
| Package source: | PoSI_1.1.tar.gz |
| Windows binaries: | r-devel: PoSI_1.1.zip, r-release: PoSI_1.1.zip, r-oldrel: PoSI_1.1.zip |
| macOS binaries: | r-release (arm64): PoSI_1.1.tgz, r-oldrel (arm64): PoSI_1.1.tgz, r-release (x86_64): PoSI_1.1.tgz, r-oldrel (x86_64): PoSI_1.1.tgz |
| Old sources: | PoSI archive |
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