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The lava estimation is a new technique to recover signals that is the sum of a sparse and dense signals. The post-lava method corrects the shrinkage bias of lava. For more information on the lava estimation, see Chernozhukov, Hansen, and Liao (2017) <doi:10.1214/16-AOS1434>.
| Version: | 1.0 |
| Depends: | MASS, glmnet, pracma |
| Published: | 2018-02-12 |
| DOI: | 10.32614/CRAN.package.Lavash |
| Author: | Victor Chernozhukov [aut, cre], Christian Hansen [aut, cre], Yuan Liao [aut, cre], Jaeheon Jung [ctb, cre] |
| Maintainer: | Jaeheon Jung <jaeheonj81 at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | Lavash results |
| Reference manual: | Lavash.pdf |
| Package source: | Lavash_1.0.tar.gz |
| Windows binaries: | r-devel: Lavash_1.0.zip, r-release: Lavash_1.0.zip, r-oldrel: Lavash_1.0.zip |
| macOS binaries: | r-release (arm64): Lavash_1.0.tgz, r-oldrel (arm64): Lavash_1.0.tgz, r-release (x86_64): Lavash_1.0.tgz, r-oldrel (x86_64): Lavash_1.0.tgz |
| Reverse depends: | LavaCvxr |
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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.