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The 'FAS' package implements the bootstrap method for the tuning parameter selection and tuning-free inference on sparse regression coefficient vectors. Currently, the test could be applied to linear and factor-augmented sparse regressions, see Lederer & Vogt (2021, JMLR) <https://www.jmlr.org/papers/volume22/20-539/20-539.pdf> and Beyhum & Striaukas (2023) <doi:10.48550/arXiv.2307.13364>.
| Version: | 1.0.0 |
| Depends: | pracma, Matrix, R (≥ 3.5.0) |
| Imports: | stats, graphics, methods |
| Published: | 2024-01-10 |
| DOI: | 10.32614/CRAN.package.FAS |
| Author: | Jonas Striaukas [cre, aut], Jad Beyhum [aut] |
| Maintainer: | Jonas Striaukas <jonas.striaukas at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | FAS results |
| Reference manual: | FAS.pdf |
| Package source: | FAS_1.0.0.tar.gz |
| Windows binaries: | r-devel: FAS_1.0.0.zip, r-release: FAS_1.0.0.zip, r-oldrel: FAS_1.0.0.zip |
| macOS binaries: | r-release (arm64): FAS_1.0.0.tgz, r-oldrel (arm64): FAS_1.0.0.tgz, r-release (x86_64): FAS_1.0.0.tgz, r-oldrel (x86_64): FAS_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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