This package was removed from CRAN on 2022-06-10. Its history is shown below.
Reason: check problems were not corrected despite reminders
Details below reflect version 1.0, its last release before removal.
Robust Regularized Singular Value Decomposition
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–flavors OK
Overview
About
Maintained by Lingsong ZhangCRAN page ↗
This package provides the function to calculate SVD, regularized SVD, robust SVD and robust regularized SVD method. The robust SVD methods use alternating iteratively reweighted least squares methods. The regularized SVD uses generalized cross validation to choose the optimal smoothing parameters.
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Documentation
In release 1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
- Help pages
- 4includes a package overview page
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 100%
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Also on31 r2u4 autocran155 c2d4u
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Code & Tests
People & History
Releases (1)
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-06-10check problems were not corrected despite reminders
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- 1.02013-12-15
- RR 3.0.0 released · 2013-04-03
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Package metadata
- First published
- 2013-12-15
- Total releases
- 1 / 13 yrs
- License
- GPL
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