codalm: Transformation-Free Linear Regression for Compositional Outcomes and Predictors
Implements the expectation-maximization (EM) algorithm as described in Fiksel et al. (2021) <doi:10.1111/biom.13465> for transformation-free linear regression for compositional outcomes and predictors.
| Version: | 0.1.2 |
| Depends: | R (≥ 2.10) |
| Imports: | SQUAREM (≥ 2020.3), future, future.apply |
| Suggests: | knitr, gtools, remotes, testthat, rmarkdown |
| Published: | 2021-07-26 |
| DOI: | 10.32614/CRAN.package.codalm |
| Author: | Jacob Fiksel 
[aut, cre],
Abhirup Datta [aut] |
| Maintainer: | Jacob Fiksel <jfiksel 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.pdf |
| Vignettes: |
How to use codalm |
Downloads:
| Package source: | codalm_0.1.2.tar.gz |
| Windows binaries: | r-devel: codalm_0.1.2.zip, r-release: codalm_0.1.2.zip, r-oldrel: codalm_0.1.2.zip |
| macOS binaries: | r-release (arm64): codalm_0.1.2.tgz, r-oldrel (arm64): codalm_0.1.2.tgz, r-release (x86_64): codalm_0.1.2.tgz, r-oldrel (x86_64): codalm_0.1.2.tgz |
| Old sources: | codalm archive |
Reverse dependencies:
| Reverse suggests: | Compositional |
Linking:
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