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 (2017) <arXiv:1704.05046> and Zhou & Zhu (2018+) <arXiv:1802.06156>. It also serves as a general purpose optimization solver for problems with orthogonality constraints. Parallel computing for approximating the gradient is enabled through ‘OpenMP’.
Version: | 0.6.4 |
Imports: | Rcpp (≥ 0.12.12), survival, dr, pracma, plot3D, rgl, MASS |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2019-09-05 |
Author: | Ruilin Zhao, Ruoqing Zhu, Jiyang Zhang, Wenzhuo Zhou and Peng Xu |
Maintainer: | Ruoqing Zhu <teazrq at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | orthoDr citation info |
Materials: | NEWS |
CRAN checks: | orthoDr results |
Reference manual: | orthoDr.pdf |
Package source: | orthoDr_0.6.4.tar.gz |
Windows binaries: | r-devel: orthoDr_0.6.4.zip, r-release: orthoDr_0.6.4.zip, r-oldrel: orthoDr_0.6.4.zip |
macOS binaries: | r-release: orthoDr_0.6.4.tgz, r-oldrel: orthoDr_0.6.4.tgz |
Old sources: | orthoDr archive |
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