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
Suggests: MASS
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2026-10-12 09:44:46 UTC; root
Repository: https://rruiyan.r-universe.dev
Date/Publication: 2017-09-19 07:50:24 UTC
RemoteUrl: https://github.com/cran/SiER
RemoteRef: HEAD
RemoteSha: cd22b18850b303370aade86f70586eb7f6b4546f