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) <doi:10.48550/arXiv.1611.06655>. The Lasso-SIR is consistent and achieve the optimal convergence rate under certain sparsity conditions for the multiple index models.
- Version0.1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release12/06/2017
Team
Zhigen Zhao
Qian Lin
Show author detailsRolesAuthorJun Liu
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 204 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,901 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Apr 01, 2025 with 57 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports1 package