The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
The lava estimation is used to recover signals that is the sum of a sparse signal and a dense signal. 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: | 1.0.2 |
| Depends: | Lavash |
| Imports: | pracma, CVXR |
| Published: | 2021-06-04 |
| DOI: | 10.32614/CRAN.package.LavaCvxr |
| Author: | Victor Chernozhukov [aut, cre], Christian Hansen [aut, cre], Yuan Liao [aut, cre], Jaeheon Jung [ctb, cre], Yang Liu [ctb, cre] |
| Maintainer: | Yang Liu <yl1241 at economics.rutgers.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | LavaCvxr results |
| Reference manual: | LavaCvxr.pdf |
| Package source: | LavaCvxr_1.0.2.tar.gz |
| Windows binaries: | r-devel: LavaCvxr_1.0.2.zip, r-release: LavaCvxr_1.0.2.zip, r-oldrel: LavaCvxr_1.0.2.zip |
| macOS binaries: | r-release (arm64): LavaCvxr_1.0.2.tgz, r-oldrel (arm64): LavaCvxr_1.0.2.tgz, r-release (x86_64): LavaCvxr_1.0.2.tgz, r-oldrel (x86_64): LavaCvxr_1.0.2.tgz |
Please use the canonical form https://CRAN.R-project.org/package=LavaCvxr to link to this page.
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.