Package: SiER 0.1.0

SiER: Signal Extraction Approach for Sparse Multivariate Response Regression

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>.

Authors:Ruiyan, Xin Qi

SiER_0.1.0.tar.gz
SiER_0.1.0.zip(r-4.7-any)SiER_0.1.0.zip(r-4.6-any)SiER_0.1.0.zip(r-4.5-any)
SiER_0.1.0.tgz(r-4.6-any)SiER_0.1.0.tgz(r-4.5-any)
SiER_0.1.0.tar.gz(r-4.7-any)SiER_0.1.0.tar.gz(r-4.6-any)
SiER_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SiER/json (API)

# Install 'SiER' in R:
install.packages('SiER', repos = c('https://rruiyan.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 6 scripts 342 downloads 1 mentions 3 exports 0 dependencies

Last updated from:cd22b18850. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK89
source / vignettesOK129
linux-releaseOK122
macos-releaseOK167
macos-oldrelOK185
windows-develOK49
windows-releaseOK67
windows-oldrelOK66
wasm-releaseOK69

Exports:cv.SiERgetcoef.SiERpred.SiER

Dependencies: