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Compositionalcln: Modelling Compositional Data with Zero Values

Modelling structural zeros in compositional data using a conditional logistic normal model as described by Aitchison (1986), where MLE (Maximum Likelihood Estimation) is performed via the EM (Expectation-Maximization) algorithm. The relevant paper is Alzeley and Tsagris (2026) <doi:10.48550/arXiv.2608.29954>.

Version: 1.0
Depends: R (≥ 4.0)
Imports: graphics, grDevices, mziln, rangen, Rfast, stats
Suggests: Compositional, Rfast2
Published: 2026-09-22
DOI: 10.32614/CRAN.package.Compositionalcln
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris at uoc.gr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: Compositionalcln results

Documentation:

Reference manual: Compositionalcln.html , Compositionalcln.pdf

Downloads:

Package source: Compositionalcln_1.0.tar.gz
Windows binaries: r-devel: Compositionalcln_1.0.zip, r-release: not available, r-oldrel: Compositionalcln_1.0.zip
macOS binaries: r-release (arm64): Compositionalcln_1.0.tgz, r-oldrel (arm64): Compositionalcln_1.0.tgz, r-release (x86_64): Compositionalcln_1.0.tgz, r-oldrel (x86_64): Compositionalcln_1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
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