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Computes a confidence interval for a specified linear combination of the regression parameters in a linear regression model with iid normal errors with unknown variance when there is uncertain prior information that a distinct specified linear combination of the regression parameters takes a specified number. This confidence interval, found by numerical nonlinear constrained optimization, has the required minimum coverage and utilizes this uncertain prior information through desirable expected length properties. This confidence interval is proposed by Kabaila, P. and Giri, K. (2009) <doi:10.1016/j.jspi.2009.03.018>.
| Version: | 1.0.1 |
| Imports: | functional, nloptr, pracma, PreciseSums, statmod |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-03-11 |
| DOI: | 10.32614/CRAN.package.ciuupi2 |
| Author: | Nishika Ranathunga [aut], Paul Kabaila [aut, cre] |
| Maintainer: | Paul Kabaila <P.Kabaila at latrobe.edu.au> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | ciuupi2 results |
| Reference manual: | ciuupi2.pdf |
| Vignettes: |
description-ciuupi2 |
| Package source: | ciuupi2_1.0.1.tar.gz |
| Windows binaries: | r-devel: ciuupi2_1.0.1.zip, r-release: ciuupi2_1.0.1.zip, r-oldrel: ciuupi2_1.0.1.zip |
| macOS binaries: | r-release (arm64): ciuupi2_1.0.1.tgz, r-oldrel (arm64): ciuupi2_1.0.1.tgz, r-release (x86_64): ciuupi2_1.0.1.tgz, r-oldrel (x86_64): ciuupi2_1.0.1.tgz |
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