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]

LassoSIR_1.0.tar.gz
LassoSIR_1.0.zip(r-4.7)LassoSIR_1.0.zip(r-4.6)LassoSIR_1.0.zip(r-4.5)
LassoSIR_1.0.tgz(r-4.6-any)LassoSIR_1.0.tgz(r-4.5-any)
LassoSIR_1.0.tar.gz(r-4.7-any)LassoSIR_1.0.tar.gz(r-4.6-any)
LassoSIR_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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.

1.46 score 1 stars 29 scripts 232 downloads 2 exports 10 dependencies

Last updated from:a38bbdefdf. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK105
source / vignettesOK172
linux-release-x86_64OK115
macos-release-arm64OK180
macos-oldrel-arm64OK177
windows-develOK76
windows-releaseOK86
windows-oldrelOK84
wasm-releaseOK89

Exports:LassoSIRpredict_Lasso_SIR

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival