Compositionalasmr: The alpha-Spatial Median Regression for Compositional Data

The alpha-spatial median regression is performed via the iteretively reweighted least squares algorithm. At first the alpha-transformation of Tsagris, Preston and Wood (2011) <doi:10.48550/arXiv.1106.1451> is applied and then the non-linear regression model is fitted.

Version: 1.0
Depends: R (≥ 4.0)
Imports: Compositional, minpack.lm, parallel, rangen, Rfast, stats
Suggests: Rfast2
Published: 2026-09-03
DOI: 10.32614/CRAN.package.Compositionalasmr (may not be active yet)
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: Compositionalasmr results

Documentation:

Reference manual: Compositionalasmr.html , Compositionalasmr.pdf

Downloads:

Package source: Compositionalasmr_1.0.tar.gz
Windows binaries: r-devel: not available, r-release: Compositionalasmr_1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): Compositionalasmr_1.0.tgz, r-oldrel (arm64): Compositionalasmr_1.0.tgz, r-release (x86_64): Compositionalasmr_1.0.tgz, r-oldrel (x86_64): Compositionalasmr_1.0.tgz

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