orthoDr: Semi-Parametric Dimension Reduction Models Using Orthogonality
Constrained Optimization
Utilize an orthogonality constrained optimization algorithm of
Wen & Yin (2013) <doi:10.1007/s10107-012-0584-1> to solve a variety of
dimension reduction problems in the semiparametric framework, such as
Ma & Zhu (2012) <doi:10.1080/01621459.2011.646925>, Ma & Zhu (2013)
<doi:10.1214/12-AOS1072>, Sun, Zhu, Wang & Zeng (2019) <doi:10.1093/biomet/asy064>
and Zhou, Zhu & Zeng (2021) <doi:10.1093/biomet/asaa087>. The package also
implements some existing dimension reduction methods such as hMave by Xia, Zhang,
& Xu (2010) <doi:10.1198/jasa.2009.tm09372> and partial SAVE by Feng, Wen & Zhu (2013)
<doi:10.1080/01621459.2012.746065>. 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'.
| Version: |
0.6.8 |
| Imports: |
Rcpp (≥ 1.0.9), survival, dr, pracma, plot3D, rgl, MASS |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Published: |
2024-03-13 |
| DOI: |
10.32614/CRAN.package.orthoDr |
| Author: |
Ruilin Zhao [aut, cph],
Ruoqing Zhu  [aut,
cre, cph],
Jiyang Zhang [aut, cph],
Wenzhuo Zhou [aut, cph],
Peng Xu [aut, cph],
James Joseph Balamuta
[ctb] |
| Maintainer: |
Ruoqing Zhu <teazrq at gmail.com> |
| BugReports: |
https://github.com/teazrq/orthoDr/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/teazrq/orthoDr |
| NeedsCompilation: |
yes |
| Citation: |
orthoDr citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
orthoDr results |
Documentation:
Downloads:
Reverse dependencies:
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