codalm: Transformation-Free Linear Regression for Compositional Outcomesand Predictors
Implements the expectation-maximization (EM) algorithm as described in Fiksel et al. (2022) <doi:10.1111/biom.13465> for transformation-free linear regression for compositional outcomes and predictors.
| Version: | 0.1.3 |
| Imports: | SQUAREM (≥ 2020.3),future,future.apply |
| Suggests: | knitr,gtools,remotes,testthat,rmarkdown,ggtern,ggplot2 |
| Published: | 2025-12-11 |
| DOI: | 10.32614/CRAN.package.codalm |
| Author: | Jacob Fiksel [aut], Abhirup Datta [ctb], Sandipan Pramanik [cre, ctb] |
| Maintainer: | Sandipan Pramanik <sandy.pramanik at gmail.com> |
| BugReports: | https://github.com/jfiksel/codalm/issues |
| License: | GPL-2 |
| URL: | https://github.com/jfiksel/codalm |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | codalm results |
Documentation:
| Reference manual: | codalm.html ,codalm.pdf |
| Vignettes: | How to use codalm (source,R code) |
Downloads:
| Package source: | codalm_0.1.3.tar.gz |
| Windows binaries: | r-devel:codalm_0.1.3.zip, r-release:codalm_0.1.3.zip, r-oldrel:codalm_0.1.3.zip |
| macOS binaries: | r-release (arm64):codalm_0.1.3.tgz, r-oldrel (arm64):codalm_0.1.3.tgz, r-release (x86_64):codalm_0.1.3.tgz, r-oldrel (x86_64):codalm_0.1.3.tgz |
| Old sources: | codalm archive |
Reverse dependencies:
| Reverse suggests: | Compositional |
Linking:
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