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.

Version: 0.1
Imports: glmnet, graphics, stats
Published: 2017-10-27
Author: Zhigen Zhao, Qian Lin, Jun Liu
Maintainer: Zhigen Zhao <zhigen.zhao at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: LassoSIR results

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Reference manual: LassoSIR.pdf
Package source: LassoSIR_0.1.tar.gz
Windows binaries: r-devel: LassoSIR_0.1.zip, r-release: LassoSIR_0.1.zip, r-oldrel: LassoSIR_0.1.zip
OS X El Capitan binaries: r-release: LassoSIR_0.1.tgz
OS X Mavericks binaries: r-oldrel: LassoSIR_0.1.tgz

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