CorShrink
0.1-6Adaptive Shrinkage of Correlation and Covariance Matrices
Overview
Performs adaptive shrinkage of correlation and covariance matrices using a mixture model prior over the Fisher z-transformation of the correlations. It allows separate shrinkage intensity for each cell of the correlation matrix. Can also we flexibly extended to shrinking correlation like quantities such as cosine similarities in word2vec models and to partial correlations in conditional graph estimation. For details on methods, refer to Stephens (2017) "False discovery rates: a new deal", DOI:10.1093/biostatistics/kxw041.
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Show 3 more other
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 3.6.0 released · 2019-04-26
- archivedRemoved from CRAN2019-02-05requires archived package 'ashr'
- 0.1-62018-07-12 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.1-52018-04-10 · diff ↗
- unarchivedReturned to CRAN2018-04-10
- archivedRemoved from CRAN2018-02-20check problems were not corrected despite reminders Unconditional use of Suggests package(s) from BioC
- 0.1.12017-11-28
- RR 3.4.0 released · 2017-04-21
Package metadata
- Total releases
- 3
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.2
- Bundled data
- 92 KB / 3 files
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