Package: SiER
Type: Package
Title: Signal Extraction Approach for Sparse Multivariate Response
        Regression
Version: 0.1.0
Author: Ruiyan, Xin Qi
Maintainer: Ruiyan Luo <rluo@gsu.edu>
Description: Methods for regression with high-dimensional predictors and  univariate or maltivariate response variables. It considers the decomposition of the coefficient matrix that leads to the best approximation to the signal part in the response given any rank, and estimates the decomposition by solving a penalized generalized eigenvalue problem followed by a least squares procedure. Ruiyan Luo and Xin Qi (2017) <doi:10.1016/j.jmva.2016.09.005>.
License: GPL-2
LazyData: TRUE
Suggests: MASS
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-09-18 14:59:04 UTC; Ruiyan
Repository: CRAN
Date/Publication: 2017-09-19 08:50:24 UTC
Built: R 4.6.0; ; 2026-04-25 22:20:07 UTC; unix
