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 ORCID iD [aut, cre], Abhirup Datta [aut]
Maintainer: Jacob Fiksel <jfiksel at>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: codalm results


Reference manual: codalm.pdf
Vignettes: How to use codalm


Package source: codalm_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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