[aut, cre],
Abhirup Datta [ctb]Implements the expectation-maximization (EM) algorithm as described in Fiksel et al. (2020) <arXiv:2004.07881> for transformation-free linear regression for compositional outcomes and predictors.
| Version: | 0.1.0 |
| Imports: | SQUAREM (≥ 2020.3), future, future.apply |
| Suggests: | knitr, ggtern, gtools, remotes, testthat, markdown |
| Published: | 2020-06-25 |
| Author: | Jacob Fiksel
[aut, cre],
Abhirup Datta [ctb] |
| 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 |
| Reference manual: | codalm.pdf |
| Vignettes: |
How to use codalm |
| Package source: | codalm_0.1.0.tar.gz |
| Windows binaries: | r-devel: codalm_0.1.0.zip, r-release: codalm_0.1.0.zip, r-oldrel: codalm_0.1.0.zip |
| macOS binaries: | r-release: codalm_0.1.0.tgz, r-oldrel: codalm_0.1.0.tgz |
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