DESCRIPTION

Package: mbkmeans
Type: Package
Title: Mini-batch K-means Clustering for Single-Cell RNA-seq
Version: 1.11.0
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
LazyData: true
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