Package: asus 1.5.0

Trambak Banerjee

asus: Adaptive SURE Thresholding Using Side Information

Provides the ASUS procedure for estimating a high dimensional sparse parameter in the presence of auxiliary data that encode side information on sparsity. It is a robust data combination procedure in the sense that even when pooling non-informative auxiliary data ASUS would be at least as efficient as competing soft thresholding based methods that do not use auxiliary data. For more information, please see the paper Adaptive Sparse Estimation with Side Information by Banerjee, Mukherjee and Sun (JASA 2020).

Authors:Trambak Banerjee [aut, cre], Gourab Mukherjee [aut], Wenguang Sun [aut]

asus_1.5.0.tar.gz
asus_1.5.0.zip(r-4.7)asus_1.5.0.zip(r-4.6)asus_1.5.0.zip(r-4.5)
asus_1.5.0.tgz(r-4.6-any)asus_1.5.0.tgz(r-4.5-any)
asus_1.5.0.tar.gz(r-4.7-any)asus_1.5.0.tar.gz(r-4.6-any)
asus_1.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
asus/json (API)
NEWS

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

Bug tracker:https://github.com/trambakbanerjee/asus/issues

On CRAN:

Conda:

4.11 score 2 stars 13 scripts 662 downloads 6 exports 2 dependencies

Last updated from:cb074d872a. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE117
source / vignettesOK163
linux-release-x86_64NOTE106
macos-release-arm64NOTE113
macos-oldrel-arm64NOTE187
windows-develNOTE82
windows-releaseNOTE105
windows-oldrelNOTE71
wasm-releaseOK128

Exports:asusasus.cutsejssoftThsureshrinksureshrink.mse

Dependencies:MASSwavethresh

demo-asus

Rendered fromdemo-asus.Rmdusingknitr::rmarkdownon May 26 2026.

Last update: 2023-08-24
Started: 2017-09-26