Package: sharp Type: Package Title: Stability-enHanced Approaches using Resampling Procedures Version: 1.4.8 Date: 2025-07-23 Authors@R: person(given = "Barbara", family = "Bodinier", role = c("aut", "cre"), email = "barbara.bodinier@gmail.com") Maintainer: Barbara Bodinier URL: https://github.com/barbarabodinier/sharp BugReports: https://github.com/barbarabodinier/sharp/issues Description: In stability selection (N Meinshausen, P Bühlmann (2010) ) and consensus clustering (S Monti et al (2003) ), resampling techniques are used to enhance the reliability of the results. In this package (B Bodinier et al (2025) ), 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) and B Bodinier et al (2023b) ). 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. License: GPL (>= 3) Language: en-GB Encoding: UTF-8 RoxygenNote: 7.3.1 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) Suggests: cluster, corpcor, dbscan, elasticnet, gglasso, mixOmics, nnet, OpenMx, RCy3, randomcoloR, rCOSA, rmarkdown, rpart, sgPLS, sparcl, survival (>= 3.2.13), testthat (>= 3.0.0), visNetwork Additional_repositories: https://barbarabodinier.github.io/drat Config/testthat/edition: 3 RdMacros: Rdpack Config/pak/sysreqs: cmake libglpk-dev libxml2-dev Repository: https://barbarabodinier.r-universe.dev Date/Publication: 2025-07-23 21:11:31 UTC RemoteUrl: https://github.com/barbarabodinier/sharp RemoteRef: HEAD RemoteSha: 5a0d649b20c747be5d98e99f3cbe15cf75d3c2c5 NeedsCompilation: no Packaged: 2026-10-15 07:02:15 UTC; root Author: Barbara Bodinier [aut, cre]