Package: ClustAssess
Type: Package
Title: Tools for Assessing Clustering
Version: 0.3.0
Authors@R: c(person("Arash", "Shahsavari", email="as3006@cam.ac.uk",
                  role = c("aut", "cre")), person("Andi", "Munteanu",
                  email="am3019@cam.ac.uk", role="aut"), person("Irina", "Mohorianu",
                  email="iim22@cam.ac.uk", role="aut"))
Maintainer: Arash Shahsavari <as3006@cam.ac.uk>
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, dplyr, fastcluster, rlang, Matrix, igraph, magrittr,
        Rcpp, methods, stats, foreach, doParallel, irlba, progress,
        reshape2, stringr, uwot
RoxygenNote: 7.1.2
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, e1071, dbscan, dendextend, Seurat, readr,
        patchwork
URL: https://github.com/Core-Bioinformatics/ClustAssess
BugReports: https://github.com/Core-Bioinformatics/ClustAssess/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-01-26 16:10:05 UTC; as3006
Author: Arash Shahsavari [aut, cre],
  Andi Munteanu [aut],
  Irina Mohorianu [aut]
Repository: CRAN
Date/Publication: 2022-01-26 16:52:46 UTC
Built: R 4.3.0; aarch64-apple-darwin20; 2023-07-10 04:37:55 UTC; unix
Archs: ClustAssess.so.dSYM
