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CRAN: Package codalm

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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