Package: LavaCvxr 1.0.2
Yang Liu
LavaCvxr: Lava Estimation for the Sum of Sparse and Dense Signals(3 Methods)
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>.
Authors:
LavaCvxr_1.0.2.tar.gz
LavaCvxr_1.0.2.tar.gz(r-4.5-noble)LavaCvxr_1.0.2.tar.gz(r-4.4-noble)
LavaCvxr_1.0.2.tgz(r-4.4-emscripten)LavaCvxr_1.0.2.tgz(r-4.3-emscripten)
LavaCvxr.pdf |LavaCvxr.html✨
LavaCvxr/json (API)
| # Install 'LavaCvxr' in R: |
| install.packages('LavaCvxr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:42cf4f15a0. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
Exports:LavaCvxr
Dependencies:bitbit64clarabelcodetoolsCVXRECOSolveRforeachglmnetgmpiteratorslatticeLavashMASSMatrixosqppracmaR6RcppRcppEigenRmpfrscsshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Lava Estimation for the Sum of Sparse and Dense Signals(3 Methods). | LavaCvxr |