Package: LassoSIR 1.0

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 (2019) <doi:10.1080/01621459.2018.1520115>. The Lasso-SIR is consistent and achieve the optimal convergence rate under certain sparsity conditions for the multiple index models.

Authors:Zhigen Zhao [aut, cre], Qian Lin [aut], Jun Liu [aut]

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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'))

On CRAN:

Conda:

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

1.43 score 1 stars 27 scripts 153 downloads 2 exports 10 dependencies

Last updated 1 days agofrom:a38bbdefdf. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-winOKMar 31 2025
R-4.5-macOKMar 31 2025
R-4.5-linuxOKMar 31 2025
R-4.4-winOKMar 31 2025
R-4.4-macOKMar 31 2025
R-4.4-linuxOKMar 31 2025
R-4.3-winOKMar 31 2025
R-4.3-macOKMar 31 2025

Exports:LassoSIRpredict_Lasso_SIR

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival