apeglm
Approximate posterior estimation for GLM coefficients
Bioconductor version: 3.23 · Package version: 1.34.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
apeglm provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("apeglm")Details
| Maintainer | Anqi Zhu <anqizhu@live.unc.edu> |
| Author | Anqi Zhu [aut, cre], Joshua Zitovsky [ctb], Joseph Ibrahim [aut], Michael Love [aut] |
| License | GPL-2 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Bayesian, DifferentialExpression, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software |
| Package Short Url | https://bioconductor.org/packages/apeglm/ |
Citation
From within R, enter citation("apeglm"):
Anqi Zhu, Joseph Ibrahim, Michael Love. apeglm: Approximate posterior estimation for GLM coefficients. doi:10.18129/B9.bioc.apeglm, R package version 1.34.0, https://bioconductor.org/packages/apeglm.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | apeglm_1.34.0.tar.gz |
| Windows binary (x86_64) | apeglm_1.34.0.zip |
| macOS binary (arm64) | apeglm_1.34.0.tgz |
| macOS binary (x86_64) | apeglm_1.34.0.tgz |
Dependencies
Imports: emdbook, SummarizedExperiment, GenomicRanges, methods, stats, utils, Rcpp
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Reverse dependencies
Depends On Me (1): rnaseqGene
Imports Me (7): airpart, debrowser, DiffBind, ERSSA, phantasus, Rmmquant, TEKRABber
Suggests Me (9): bambu, dar, DeeDeeExperiment, DESeq2, extraChIPs, fishpond, NanoporeRNASeq, RNAseqQC, terapadog