Package: celda
Title: CEllular Latent Dirichlet Allocation
Version: 1.0.4
Authors@R: c(person("Joshua", "Campbell", email = "camp@bu.edu", role = c("aut", "cre")),
             person("Sean", "Corbett", email = "scorbett@bu.edu", role = c("aut")),
	     person("Yusuke", "Koga", email="ykoga07@bu.edu", role = c("aut")),
	     person("Zhe", "Wang", email="zhe@bu.edu", role = c("aut")))
Description: celda leverages Bayesian hierarchical modeling to cluster genes,
    cells, or both simultaneously from single cell sequencing data.
Depends:
    R (>= 3.6)
VignetteBuilder: knitr
Imports:
    stats,
    plyr,
    foreach,
    ggplot2,
    RColorBrewer,
    grid,
    scales,
    gtable,
    grDevices,
    graphics,
    matrixStats,
    doParallel,
    digest,
    gridExtra,
    methods,
    reshape2,
    MAST,
    S4Vectors,
    data.table,
    Rcpp,
    RcppEigen,
    umap,
    enrichR,
    stringi,
    SummarizedExperiment,
    MCMCprecision,
    ggrepel,
    Rtsne,
    withr
Suggests:
    testthat,
    knitr,
    roxygen2,
    rmarkdown,
    corrplot,
    Matrix,
    biomaRt,
    covr,
    M3DExampleData,
    BiocManager,
    BiocStyle
LinkingTo: Rcpp, RcppEigen
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
RoxygenNote: 6.1.1
BugReports: https://github.com/campbio/celda/issues
biocViews: SingleCell, GeneExpression, Clustering, Sequencing, Bayesian