Package: HGSL 1.0.0

Yongjian Kang

HGSL: Heterogeneous Group Square-Root Lasso

Estimation of high-dimensional multi-response regression with heterogeneous noises under Heterogeneous group square-root Lasso penalty. For details see: Ren, Z., Kang, Y., Fan, Y. and Lv, J. (2018)<arxiv:1606.03803>.

Authors:Zhao Ren [aut], Yongjian Kang [aut, cre], Yingying Fan [aut], Jinchi Lv [aut]

HGSL_1.0.0.tar.gz
HGSL_1.0.0.tar.gz(r-4.7-any)HGSL_1.0.0.tar.gz(r-4.6-any)
HGSL_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
HGSL/json (API)

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

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

1.00 score 1 stars 1 scripts 125 downloads 1 exports 0 dependencies

Last updated from:255a4da1bc. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK84
source / vignettesOK164
linux-release-x86_64OK97
wasm-releaseOK82

Exports:S_TISP_Path

Dependencies: