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:
HGSL_1.0.0.tar.gz
HGSL_1.0.0.zip(r-4.7-any)HGSL_1.0.0.zip(r-4.6-any)
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✨
DESCRIPTION
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:255a4da1bc. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 102 | ||
| source / vignettes | OK | 172 | ||
| linux-release | OK | 104 | ||
| windows-devel | OK | 50 | ||
| windows-release | OK | 73 | ||
| wasm-release | OK | 91 |
Exports:S_TISP_Path
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| S_TISP_Path Function | S_TISP_Path |