DESCRIPTION

Package: glmGamPoi
Type: Package
Title: Fit a Gamma-Poisson Generalized Linear Model
Version: 1.19.2
Authors@R: c(person("Constantin", "Ahlmann-Eltze", email = "artjom31415@googlemail.com", 
                    role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3762-068X")),
             person("Nathan", "Lubock", email="lubock.nathan@gmail.com", role = "ctb", 
                    comment = c(ORCID = "0000-0001-8064-2465")),
             person("Michael", "Love", email="michaelisaiahlove@gmail.com", role = "ctb"))
Description: Fit linear models to overdispersed count data.
     The package can estimate the overdispersion and fit repeated models
     for matrix input. It is designed to handle large input datasets as they
     typically occur in single cell RNA-seq experiments.
License: GPL-3
Encoding: UTF-8
SystemRequirements: C++17
Suggests: 
    testthat (>= 2.1.0),
    zoo,
    DESeq2,
    edgeR,
    limma,
    MASS,
    statmod,
    ggplot2,
    bench,
    BiocParallel,
    knitr,
    rmarkdown,
    BiocStyle,
    TENxPBMCData,
    muscData,
    scran,
    dplyr
LinkingTo: 
    Rcpp,
    RcppArmadillo,
    beachmat,
    assorthead
Imports: 
    Rcpp,
    beachmat,
    DelayedMatrixStats,
    matrixStats,
    MatrixGenerics,
    SparseArray (>= 1.5.21),
    DelayedArray,
    HDF5Array,
    Matrix,
    SummarizedExperiment,
    SingleCellExperiment,
    BiocGenerics,
    methods,
    stats,
    utils,
    splines,
    rlang,
    vctrs
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
URL: https://github.com/const-ae/glmGamPoi
BugReports: https://github.com/const-ae/glmGamPoi/issues
biocViews: Regression, RNASeq, Software, SingleCell
VignetteBuilder: knitr