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