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.tar.gz(r-4.5-noble)HGSL_1.0.0.tar.gz(r-4.4-noble)
HGSL_1.0.0.tgz(r-4.4-emscripten)HGSL_1.0.0.tgz(r-4.3-emscripten)
HGSL.pdf |HGSL.html✨
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 6 years agofrom:255a4da1bc. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
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Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-linux | OK | Nov 12 2024 |
Exports:S_TISP_Path
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
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S_TISP_Path Function | S_TISP_Path |