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 (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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