A set of tools for evaluating clustering robustness using proportion of ambiguously clustered pairs (Senbabaoglu et al. (2014) <doi:10.1038/srep06207>), as well as similarity across methods and method stability using element-centric clustering comparison (Gates et al. (2019) <doi:10.1038/s41598-019-44892-y>). Additionally, this package enables stability-based parameter assessment for graph-based clustering pipelines typical in single-cell data analysis.
Version: 1.1.0 Depends: R (≥ 4.0.0), methods, stats Imports: dplyr, DT, fastcluster, foreach, glue, Gmedian, ggnewscale, ggplot2, ggrastr, ggrepel, ggtext, gprofiler2, igraph, jsonlite, leiden, Matrix (≥ 1.5.0), matrixStats, progress, stringr, paletteer, plotly, qualpalr, RANN, reshape2, rlang, Seurat, shiny, shinyjs, shinyLP, shinyWidgets, utils, uwot, vioplot LinkingTo: Rcpp, RcppEigen Suggests: BiocManager, colourpicker, ComplexHeatmap, data.table, DelayedMatrixStats, devtools, doParallel, leidenbase, monocle3, patchwork, ragg, reticulate, rhdf5, RhpcBLASctl, rmarkdown, scales, SeuratObject, SharedObject, styler, testthat (≥ 3.0.0) Published: 2025-05-27 DOI: 10.32614/CRAN.package.ClustAssess Author: Andi Munteanu [aut, cre], Arash Shahsavari [aut], Rafael Kollyfas [ctb], Miguel Larraz Lopez de Novales [aut], Liviu Ciortuz [ctb], Irina Mohorianu [aut] Maintainer: Andi Munteanu <am3019 at cam.ac.uk> BugReports: https://github.com/Core-Bioinformatics/ClustAssess/issues License: MIT + file LICENSE URL: https://github.com/Core-Bioinformatics/ClustAssess, https://core-bioinformatics.github.io/ClustAssess/ NeedsCompilation: yes Additional_repositories: https://blaserlab.r-universe.dev Citation: ClustAssess citation info Materials: README NEWS CRAN checks: ClustAssess results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ClustAssess to link to this page.
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