FAS: Factor-Augmented Sparse Regression Tuning-Free Testing
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 | 
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