This is the development version of glmGamPoi; for the stable release version, see glmGamPoi.
Fit a Gamma-Poisson Generalized Linear ModelBioconductor version: Development (3.22)
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.
Author: Constantin Ahlmann-Eltze [aut, cre] ORCID: 0000-0002-3762-068X , Nathan Lubock [ctb] ORCID: 0000-0001-8064-2465 , Michael Love [ctb]
Maintainer: Constantin Ahlmann-Eltze <artjom31415 at googlemail.com>
Citation (from within R, entercitation("glmGamPoi")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("glmGamPoi")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("glmGamPoi")
Details biocViews RNASeq, Regression, SingleCell, Software Version 1.21.0 In Bioconductor since BioC 3.11 (R-4.0) (5 years) License GPL-3 Depends R (>= 4.1.0) Imports Rcpp, beachmat, DelayedMatrixStats, matrixStats, MatrixGenerics, SparseArray(>= 1.5.21), S4Vectors, DelayedArray, HDF5Array, Matrix, SummarizedExperiment, SingleCellExperiment, BiocGenerics, methods, stats, utils, splines, rlang, vctrs System Requirements C++17 URL https://github.com/const-ae/glmGamPoi Bug Reports https://github.com/const-ae/glmGamPoi/issues See More Suggests testthat (>= 2.1.0), zoo, DESeq2, edgeR, limma, MASS, statmod, ggplot2, bench, BiocParallel, knitr, rmarkdown, BiocStyle, TENxPBMCData, muscData, scran, dplyr Linking To Rcpp, RcppArmadillo, beachmat, assorthead Enhances Depends On Me Imports Me BASiCStan, lemur, transformGamPoi, SCdeconR Suggests Me DESeq2, DEXSeq, scregclust, Seurat Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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