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SiER

0.1.0

Signal Extraction Approach for Sparse Multivariate Response Regression

1packages depend
6.6Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Ruiyan LuoFirst published 2017-09-191 releasesCRAN page ↗

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.

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Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 1.0 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
0
Dependencies · direct
Check history
  • NOTE2026-03-10
    9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
100%
Documented parameters
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Return-value docs
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References docs
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Downloads

6.6K
CRAN downloads in the past year
Rank #8,644 · ~18/day · ~550/mo
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18930 days
1K90 days
6.6K1 year
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Also on99 r2u16 autocran

Dependencies

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Suggests (1)
MASS
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Reverse dependencies
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0indirect

Code & Tests

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Listed in earlier versions (2)
no longer listed · 0.1.0
no longer listed · 0.1.0
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2017-09-19
Total releases
1 / 9 yrs
License
GPL-2 OSI
Download size
7.4 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

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Run in R for the authors' preferred citation:

citation("SiER")

Cite the R Observatory

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APA

Balamuta, J. J. (2026). R Observatory: Metrics for SiER version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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