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This package was removed from CRAN on 2008-11-08. Its history is shown below.
Details below reflect version 0.2, its last release before removal.

muscor

0.2

Multi-stage Convex Relaxation

0packages depend
downloads / year
test coverage
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Overview

About
Maintained by Tong Zhang1 releasesCRAN page ↗

muscor is a package that solves a number of convex/non-convex sparse regularization formulations for regression or binary classification using multi-stage convex relaxation algorithm, described in the paper "Multi-stage Convex Relaxation for Learning with Sparse Regularization". Loss functions include least squares, logistic, truncated ls/huber. Regularization conditions include Lp + L2 (p in (0,1]), or capped-L1.

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Health

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Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
0
Dependencies · direct

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
92%
Return-value docs
100%
References docs
100%

Downloads

muscor
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Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.0.0
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Other (1)
Contributor
Package Timeline

1 release. R releases are shown for context.

  • 0.2archived
    2008-11-08
  • R
    R 2.8.0 released · 2008-10-20
  • 0.2
    2008-10-17
  • R
    R 2.7.0 released · 2008-04-22

Package metadata

Total releases
1
License
GPL (>= 2) OSI
Minimum R
≥ 2.0.0
Bundled data
375 KB / 1 file
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("muscor")
Zhang, T. (n.d.). muscor: Multi-stage Convex Relaxation (Version 0.2) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=muscor

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for muscor version 0.2 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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