Lavash: Lava Estimation for the Sum of Sparse and Dense Signals

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>
License: GPL-2
NeedsCompilation: no
CRAN checks: Lavash results


Reference manual: Lavash.pdf


Package source: Lavash_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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 dependencies:

Reverse depends: LavaCvxr


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