Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization

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 (2017) and Zhou & Zhu (2018+) . It also serves as a general purpose optimization solver for problems with orthogonality constraints. Parallel computing for approximating the gradient is enabled through `OpenMP'.


News

Package: orthoDr Version: 0.2.0


Added an experimental version of the semi-direct learning of personalized medicine model. Also added the efficient estimation procedure of Ma and Zhu (2013).

Package: orthoDr Version: 0.1.0


This is the first release of this package on CRAN.

Reference manual

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install.packages("orthoDr")

0.6.4 by Ruoqing Zhu, 2 years ago


Browse source code at https://github.com/cran/orthoDr


Authors: Ruilin Zhao , Ruoqing Zhu , Jiyang Zhang , Wenzhuo Zhou and Peng Xu


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, survival, dr, pracma, plot3D, rgl, MASS

Linking to Rcpp, RcppArmadillo


See at CRAN