CRAN/E | sharp

sharp

Stability-enHanced Approaches using Resampling Procedures

Installation

About

In stability selection (N Meinshausen, P Bühlmann (2010) doi:10.1111/j.1467-9868.2010.00740.x) and consensus clustering (S Monti et al (2003) doi:10.1023/A:1023949509487), resampling techniques are used to enhance the reliability of the results. In this package, hyper-parameters are calibrated by maximising model stability, which is measured under the null hypothesis that all selection (or co-membership) probabilities are identical (B Bodinier et al (2023a) doi:10.1093/jrsssc/qlad058 and B Bodinier et al (2023b) doi:10.1093/bioinformatics/btad635). Functions are readily implemented for the use of LASSO regression, sparse PCA, sparse (group) PLS or graphical LASSO in stability selection, and hierarchical clustering, partitioning around medoids, K means or Gaussian mixture models in consensus clustering.

github.com/barbarabodinier/sharp
Bug report File report

Key Metrics

Version 1.4.6
R ≥ 3.5
Published 2024-02-03 244 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks sharp results
Language en-GB

Downloads

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Last 30 days 331 +14%
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Last 365 days 3.915 +17%

Maintainer

Maintainer

Barbara Bodinier

Authors

Barbara Bodinier

aut / cre

Material

README
NEWS
Reference manual
Package source

Additional repos

barbarabodinier.github.io/drat

Vignettes

Sharp-JSS-2024

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sharp archive

Depends

fake ≥ 1.4.0
R ≥ 3.5

Imports

abind
beepr
future
future.apply
glassoFast ≥ 1.0.0
glmnet
grDevices
igraph
mclust
nloptr
plotrix
Rdpack
withr ≥ 2.4.0

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