DESCRIPTION

Package: SampleQC
Title: Robust, multivariate, multi-sample, multi-celltype QC for single cell RNA-seq data
Version: 0.6.6
Authors@R: 
    person(given = "Will",
           family = "Macnair",
           email = "will.macnair@mls.uzh.ch",
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-6357-0834"))
Description: `SampleQC` is an R package for robust multivariate, multi-
    celltype, multi-sample quality control for single cell RNA-seq. Unimodal
    approaches to QC, such as `scater`, may preferentially remove healthy cells 
    from celltypes with extreme QC statistics, introducing bias. `SampleQC` 
    removes this bias by fitting a Gaussian mixture model. The fit is done 
    across multiple celltypes simultaneously, and using robust estimators
    allows it to find the distributions in the (expected) presence of outliers.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: 
    assertthat,
    BiocStyle,
    BiocParallel,
    data.table,
    forcats,
    ggplot2,
    gtools,
    igraph,
    magrittr,
    MASS,
    Matrix,
    matrixStats,
    mclust,
    mixtools,
    mvnfast,
    mvtnorm,
    parallel,
    patchwork,
    RColorBrewer,
    Rcpp,
    RcppArmadillo,
    RcppDist,
    rmarkdown,
    S4Vectors,
    scales,
    SingleCellExperiment,
    stringr,
    SummarizedExperiment,
    uwot
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
Suggests: 
    testthat (>= 2.1.0),
    knitr
LinkingTo: 
    Rcpp,
    RcppDist,
    RcppArmadillo
VignetteBuilder: knitr