Package: LassoSIR 0.1.1
LassoSIR: Sparsed Sliced Inverse Regression via Lasso
Estimate the sufficient dimension reduction space using sparsed sliced inverse regression via Lasso (Lasso-SIR) introduced in Lin, Zhao, and Liu (2017) <arxiv:1611.06655>. The Lasso-SIR is consistent and achieve the optimal convergence rate under certain sparsity conditions for the multiple index models.
Authors:
LassoSIR_0.1.1.tar.gz
LassoSIR_0.1.1.zip(r-4.5)LassoSIR_0.1.1.zip(r-4.4)LassoSIR_0.1.1.zip(r-4.3)
LassoSIR_0.1.1.tgz(r-4.4-any)LassoSIR_0.1.1.tgz(r-4.3-any)
LassoSIR_0.1.1.tar.gz(r-4.5-noble)LassoSIR_0.1.1.tar.gz(r-4.4-noble)
LassoSIR_0.1.1.tgz(r-4.4-emscripten)LassoSIR_0.1.1.tgz(r-4.3-emscripten)
LassoSIR.pdf |LassoSIR.html✨
LassoSIR/json (API)
# Install 'LassoSIR' in R: |
install.packages('LassoSIR', repos = c('https://zhaozhg81.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 7 years agofrom:c2e3b07c5a. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-win | OK | Nov 16 2024 |
R-4.5-linux | OK | Nov 16 2024 |
R-4.4-win | OK | Nov 16 2024 |
R-4.4-mac | OK | Nov 16 2024 |
R-4.3-win | OK | Nov 16 2024 |
R-4.3-mac | OK | Nov 16 2024 |
Exports:LassoSIR
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
LassoSIR | LassoSIR |
Sparsed Sliced Inverse Regression via Lasso | LassoSIR-Package |