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orthoDr  

Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("orthoDr", "0.6.8")



Attach the package and use:
library("orthoDr")
Maintained by
Ruoqing Zhu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-21
Latest Update: 2023-04-30
Description:
Utilize an orthogonality constrained optimization algorithm of Wen & Yin (2013) to solve a variety of dimension reduction problems in the semiparametric framework, such as Ma & Zhu (2012) , Ma & Zhu (2013) , Sun, Zhu, Wang & Zeng (2019) and Zhou, Zhu & Zeng (2021) . The package also implements some existing dimension reduction methods such as hMave by Xia, Zhang, & Xu (2010) and partial SAVE by Feng, Wen & Zhu (2013) . It also serves as a general purpose optimization solver for problems with orthogonality constraints, i.e., in Stiefel manifold. Parallel computing for approximating the gradient is enabled through 'OpenMP'.
How to cite:
Ruoqing Zhu (2017). orthoDr: Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization. R package version 0.6.8, https://cran.r-project.org/web/packages/orthoDr. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2017-09-21 09:49), 0.3.0 (2017-11-02 05:44), 0.5.1 (2018-03-26 01:07), 0.5 (2018-03-25 17:05), 0.6.2 (2019-08-20 23:20), 0.6.4 (2019-09-05 14:30), 0.6.5 (2022-07-19 23:20), 0.6.7 (2023-04-30 12:50)
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