ClustAssess: Tools for Assessing Clustering

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:	0.3.0
Imports:	ggplot2, dplyr, fastcluster, rlang, Matrix, igraph, magrittr, Rcpp, methods, stats, foreach, doParallel, irlba, progress, reshape2, stringr, uwot
LinkingTo:	Rcpp
Suggests:	knitr, rmarkdown, e1071, dbscan, dendextend, Seurat, readr, patchwork
Published:	2022-01-26
DOI:	10.32614/CRAN.package.ClustAssess
Author:	Arash Shahsavari [aut, cre], Andi Munteanu [aut], Irina Mohorianu [aut]
Maintainer:	Arash Shahsavari <as3006 at cam.ac.uk>
BugReports:	https://github.com/Core-Bioinformatics/ClustAssess/issues
License:	MIT + file LICENSE
URL:	https://github.com/Core-Bioinformatics/ClustAssess
NeedsCompilation:	yes
Materials:	README
CRAN checks:	ClustAssess results

Documentation:

Reference manual:	ClustAssess.pdf
Vignettes:	Evaluating single-cell clustering with ClustAssess Comparing soft and hierarchical clusterings with element-centric similarity

Downloads:

Package source:	ClustAssess_0.3.0.tar.gz
Windows binaries:	r-devel: ClustAssess_0.3.0.zip, r-release: ClustAssess_0.3.0.zip, r-oldrel: ClustAssess_0.3.0.zip
macOS binaries:	r-release (arm64): ClustAssess_0.3.0.tgz, r-oldrel (arm64): ClustAssess_0.3.0.tgz, r-release (x86_64): ClustAssess_0.3.0.tgz, r-oldrel (x86_64): ClustAssess_0.3.0.tgz
Old sources:	ClustAssess archive

Linking:

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