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LassoSIR  

Sparsed Sliced Inverse Regression via Lasso
View on CRAN: Click here


Download and install LassoSIR package within the R console
Install from CRAN:
install.packages("LassoSIR")

Install from Github:
library("remotes")
install_github("cran/LassoSIR")

Install by package version:
library("remotes")
install_version("LassoSIR", "0.1.1")



Attach the package and use:
library("LassoSIR")
Maintained by
Zhigen Zhao
[Scholar Profile | Author Map]
First Published: 2017-10-27
Latest Update: 2017-12-06
Description:
Estimate the sufficient dimension reduction space using sparsed sliced inverse regression via Lasso (Lasso-SIR) introduced in Lin, Zhao, and Liu (2017) . The Lasso-SIR is consistent and achieve the optimal convergence rate under certain sparsity conditions for the multiple index models.
How to cite:
Zhigen Zhao (2017). LassoSIR: Sparsed Sliced Inverse Regression via Lasso. R package version 0.1.1, https://cran.r-project.org/web/packages/LassoSIR. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.1.1 (2017-12-06 17:55), 0.1 (2017-10-27 15:55)
Other packages that cited LassoSIR R package
View LassoSIR citation profile
Other R packages that LassoSIR depends, imports, suggests or enhances
Complete documentation for LassoSIR
Functions, R codes and Examples using the LassoSIR R package
Some associated functions: LassoSIR-package . LassoSIR . 
Some associated R codes: LassoSIR.R .  Full LassoSIR package functions and examples
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