Package: glmGamPoi 1.19.0

Constantin Ahlmann-Eltze

glmGamPoi: Fit a Gamma-Poisson Generalized Linear Model

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.

Authors:Constantin Ahlmann-Eltze [aut, cre], Nathan Lubock [ctb], Michael Love [ctb]

glmGamPoi_1.19.0.tar.gz
glmGamPoi_1.19.0.zip(r-4.5)glmGamPoi_1.19.0.zip(r-4.4)glmGamPoi_1.19.0.zip(r-4.3)
glmGamPoi_1.19.0.tgz(r-4.4-x86_64)glmGamPoi_1.19.0.tgz(r-4.4-arm64)glmGamPoi_1.19.0.tgz(r-4.3-x86_64)glmGamPoi_1.19.0.tgz(r-4.3-arm64)
glmGamPoi_1.19.0.tar.gz(r-4.5-noble)glmGamPoi_1.19.0.tar.gz(r-4.4-noble)
glmGamPoi.pdf |glmGamPoi.html
glmGamPoi/json (API)
NEWS

# Install 'glmGamPoi' in R:
install.packages('glmGamPoi', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/const-ae/glmgampoi/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On BioConductor:glmGamPoi-1.17.4(bioc 3.20)glmGamPoi-1.16.0(bioc 3.19)

regressionrnaseqsoftwaresinglecellgamma-poissonglmnegative-binomial-regressionon-disk

11.98 score 105 stars 4 packages 926 scripts 8.5k downloads 2 mentions 7 exports 44 dependencies

Last updated 23 days agofrom:c4e4ed4ee8. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-win-x86_64NOTEOct 31 2024
R-4.5-linux-x86_64NOTEOct 30 2024
R-4.4-win-x86_64NOTEOct 31 2024
R-4.4-mac-x86_64NOTEOct 31 2024
R-4.4-mac-aarch64NOTEOct 31 2024
R-4.3-win-x86_64NOTEOct 31 2024
R-4.3-mac-x86_64NOTEOct 31 2024
R-4.3-mac-aarch64NOTEOct 31 2024

Exports:glm_gploc_median_fitoverdispersion_mleoverdispersion_shrinkagepseudobulktest_devars

Dependencies:abindaskpassassortheadbeachmatBiobaseBiocGenericsclicrayoncurlDelayedArrayDelayedMatrixStatsGenomeInfoDbGenomeInfoDbDataGenomicRangesglueHDF5ArrayhttrIRangesjsonlitelatticelifecycleMatrixMatrixGenericsmatrixStatsmimeopensslR6RcppRcppArmadillorhdf5rhdf5filtersRhdf5librlangS4ArraysS4VectorsSingleCellExperimentSparseArraysparseMatrixStatsSummarizedExperimentsysUCSC.utilsvctrsXVectorzlibbioc

glmGamPoi Quickstart

Rendered fromglmGamPoi.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2020-11-17
Started: 2020-03-27

Pseudobulk and differential expression

Rendered frompseudobulk.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2023-02-27
Started: 2023-01-03