The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Provides scalable generalized linear and mixed effects models tailored for sequence count data analysis (e.g., analysis of 16S or RNA-seq data). Uses Dirichlet-multinomial sampling to quantify uncertainty in relative abundance or relative expression conditioned on observed count data. Implements scale models as a generalization of normalizations which account for uncertainty in scale (e.g., total abundances) as described in Nixon et al. (2025) <doi:10.1186/s13059-025-03609-3> and McGovern et al. (2025) <doi:10.1101/2025.08.05.668734>.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.5) |
| Imports: | purrr, lme4, lmerTest, parallel, MASS, nlme, abind, matrixStats, methods, stats |
| Suggests: | rBeta2009, testthat (≥ 3.0.0), lmtest, sandwich, knitr, rmarkdown |
| Published: | 2026-02-05 |
| DOI: | 10.32614/CRAN.package.ALDEx3 |
| Author: | Justin Silverman [aut, cre], Greg Gloor [aut], Kyle McGovern [aut, ctb] |
| Maintainer: | Justin Silverman <JustinSilverman at psu.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | ALDEx3 results |
| Reference manual: | ALDEx3.html , ALDEx3.pdf |
| Vignettes: |
ALDEx3-Quickstart (source) |
| Package source: | ALDEx3_1.0.2.tar.gz |
| Windows binaries: | r-devel: ALDEx3_1.0.1.zip, r-release: ALDEx3_1.0.0.zip, r-oldrel: ALDEx3_1.0.1.zip |
| macOS binaries: | r-release (arm64): ALDEx3_1.0.1.tgz, r-oldrel (arm64): ALDEx3_1.0.1.tgz, r-release (x86_64): ALDEx3_1.0.2.tgz, r-oldrel (x86_64): ALDEx3_1.0.2.tgz |
| Old sources: | ALDEx3 archive |
Please use the canonical form https://CRAN.R-project.org/package=ALDEx3 to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.