SiER (0.1.0)

0 users

Signal Extraction Approach for Sparse Multivariate Response Regression.

http://cran.r-project.org/web/packages/SiER

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) .

Maintainer: Ruiyan Luo
Author(s): Ruiyan, Xin Qi

License: GPL-2

Uses: MASS

Released almost 2 years ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of SiER yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for SiER on google, google scholar, r-help, r-devel.

Visit SiER on R Graphical Manual.