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Variable selection for ultrahigh-dimensional ("large p small n") linear Gaussian models using a fiducial framework allowing to draw inference on the parameters. Reference: Lai, Hannig & Lee (2015) <doi:10.1080/01621459.2014.931237>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | SIS, stats, utils, lazyeval, mvtnorm |
| Published: | 2020-12-09 |
| Author: | Stéphane Laurent [aut, cre] |
| Maintainer: | Stéphane Laurent <laurent_step at outlook.fr> |
| BugReports: | https://github.com/stla/gfiUltra/issues |
| License: | GPL-3 |
| URL: | https://github.com/stla/gfiUltra |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | gfiUltra results |
| Reference manual: | gfiUltra.pdf |
| Package source: | gfiUltra_1.0.0.tar.gz |
| Windows binaries: | r-devel: gfiUltra_1.0.0.zip, r-release: gfiUltra_1.0.0.zip, r-oldrel: gfiUltra_1.0.0.zip |
| macOS binaries: | r-release (arm64): gfiUltra_1.0.0.tgz, r-oldrel (arm64): gfiUltra_1.0.0.tgz, r-release (x86_64): gfiUltra_1.0.0.tgz, r-oldrel (x86_64): gfiUltra_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
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