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
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

Documentation:

Reference manual:

Lavash.pdf

Downloads:

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 dependencies:

Reverse depends:

LavaCvxr

Linking:

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