Package: Lavash 1.0

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>.

Authors:Victor Chernozhukov [aut, cre], Christian Hansen [aut, cre], Yuan Liao [aut, cre], Jaeheon Jung [ctb, cre]

Lavash_1.0.tar.gz
Lavash_1.0.zip(r-4.5)Lavash_1.0.zip(r-4.4)Lavash_1.0.zip(r-4.3)
Lavash_1.0.tgz(r-4.4-any)Lavash_1.0.tgz(r-4.3-any)
Lavash_1.0.tar.gz(r-4.5-noble)Lavash_1.0.tar.gz(r-4.4-noble)
Lavash_1.0.tgz(r-4.4-emscripten)Lavash_1.0.tgz(r-4.3-emscripten)
Lavash.pdf |Lavash.html
Lavash/json (API)

# Install 'Lavash' in R:
install.packages('Lavash', repos = c('https://boriking81.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1 exports 0.36 score 12 dependencies 1 dependents 1 scripts 146 downloads

Last updated 7 years agofrom:bb965ef874. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winOKAug 21 2024
R-4.5-linuxOKAug 21 2024
R-4.4-winOKAug 21 2024
R-4.4-macOKAug 21 2024
R-4.3-winOKAug 21 2024
R-4.3-macOKAug 21 2024

Exports:Lavash

Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixpracmaRcppRcppEigenshapesurvival