Package: mbkmeans
Type: Package
Title: Mini-batch K-means Clustering for Single-Cell RNA-seq
Version: 1.29.0
Authors@R: 
    c(person("Yuwei", "Ni", role = c("aut", "cph"),
             email = "yuweini45@gmail.com"),
      person("Davide", "Risso", role = c("aut", "cre", "cph"),
             email = "risso.davide@gmail.com"),
      person("Stephanie", "Hicks", role = c("aut", "cph"),
             email = "shicks19@jhu.edu"),
      person("Elizabeth", "Purdom", role = c("aut", "cph"),
             email = "epurdom@stat.berkeley.edu"))
Description: Implements the mini-batch k-means algorithm for large
        datasets, including support for on-disk data representation.
Depends: R (>= 3.6)
Imports: methods, DelayedArray, Rcpp, S4Vectors, SingleCellExperiment,
        SummarizedExperiment, ClusterR, benchmarkme, Matrix,
        BiocParallel
Suggests: beachmat, HDF5Array, Rhdf5lib, BiocStyle, TENxPBMCData,
        scater, DelayedMatrixStats, bluster, knitr, testthat, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.1.1
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.2), Rhdf5lib, beachmat, ClusterR
SystemRequirements: C++11
VignetteBuilder: knitr
biocViews: Clustering, GeneExpression, RNASeq, Software,
        Transcriptomics, Sequencing, SingleCell
BugReports: https://github.com/drisso/mbkmeans/issues
Config/pak/sysreqs: libgmp3-dev libicu-dev libssl-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:49:56 UTC
RemoteUrl: https://github.com/bioc/mbkmeans
RemoteRef: HEAD
RemoteSha: fbe387a8d049e570c76a207435eba3be12ccead6
NeedsCompilation: yes
Packaged: 2026-06-23 16:04:51 UTC; root
Author: Yuwei Ni [aut, cph],
  Davide Risso [aut, cre, cph],
  Stephanie Hicks [aut, cph],
  Elizabeth Purdom [aut, cph]
Maintainer: Davide Risso <risso.davide@gmail.com>