Package: sharp
Type: Package
Title: Stability-enHanced Approaches using Resampling Procedures
Version: 1.2.1
Date: 2022-12-08
Author: Barbara Bodinier [aut, cre]
Maintainer: Barbara Bodinier <b.bodinier@imperial.ac.uk>
URL: https://github.com/barbarabodinier/sharp
BugReports: https://github.com/barbarabodinier/sharp/issues
Description: In stability selection (N Meinshausen, P Bühlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>), 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 by the negative log-likelihood under the null hypothesis that all selection probabilities are identical (B Bodinier et al (2021) <arXiv:2106.02521>). Functions are readily implemented for the use of LASSO regression, sparse PCA, sparse (group) PLS or graphical LASSO. 
License: GPL (>= 3)
Language: en-GB
Encoding: UTF-8
RoxygenNote: 7.2.0
Depends: fake (>= 1.3.0)
Imports: beepr, glassoFast (>= 1.0.0), glmnet, grDevices, igraph,
        mclust, parallel, Rdpack, withr (>= 2.4.0)
Suggests: corpcor, elasticnet, gglasso, mixOmics, nnet, plotrix, RCy3,
        rmarkdown, sgPLS, survival (>= 3.2.13), testthat (>= 3.0.0),
        visNetwork
Config/testthat/edition: 3
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2022-12-09 17:11:31 UTC; barbara
Repository: CRAN
Date/Publication: 2022-12-09 23:20:16 UTC
