Package: apeglm 1.29.0
Anqi Zhu
apeglm: Approximate posterior estimation for GLM coefficients
apeglm provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.
Authors:
apeglm_1.29.0.tar.gz
apeglm_1.29.0.zip(r-4.5)apeglm_1.29.0.zip(r-4.4)apeglm_1.29.0.zip(r-4.3)
apeglm_1.29.0.tgz(r-4.4-x86_64)apeglm_1.29.0.tgz(r-4.4-arm64)apeglm_1.29.0.tgz(r-4.3-x86_64)apeglm_1.29.0.tgz(r-4.3-arm64)
apeglm_1.29.0.tar.gz(r-4.5-noble)apeglm_1.29.0.tar.gz(r-4.4-noble)
apeglm_1.29.0.tgz(r-4.4-emscripten)apeglm_1.29.0.tgz(r-4.3-emscripten)
apeglm.pdf |apeglm.html✨
apeglm/json (API)
NEWS
| # Install 'apeglm' in R: |
| install.packages('apeglm', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:apeglm-1.27.1(bioc 3.20)apeglm-1.26.1(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
immunooncologysequencingrnaseqdifferentialexpressiongeneexpressionbayesian
Last updated 23 days agofrom:9318bfd333. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win-x86_64 | OK | Oct 30 2024 |
| R-4.5-linux-x86_64 | OK | Oct 30 2024 |
| R-4.4-win-x86_64 | OK | Oct 30 2024 |
| R-4.4-mac-x86_64 | OK | Oct 30 2024 |
| R-4.4-mac-aarch64 | OK | Oct 30 2024 |
| R-4.3-win-x86_64 | OK | Oct 30 2024 |
| R-4.3-mac-x86_64 | OK | Oct 30 2024 |
| R-4.3-mac-aarch64 | OK | Oct 30 2024 |
Exports:apeglmbbEstDisplogLikNBsvalue
Dependencies:abindaskpassbbmlebdsmatrixBiobaseBiocGenericscodacrayoncurlDelayedArrayemdbookGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitelatticeMASSMatrixMatrixGenericsmatrixStatsmimemvtnormnumDerivopensslplyrR6RcppRcppEigenRcppNumericalS4ArraysS4VectorsSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc
