The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
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 |
Please use the canonical form https://CRAN.R-project.org/package=Lavash 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.
Health stats visible at Monitor.