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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 |
| Reference manual: | Compositionalasmr.html , Compositionalasmr.pdf |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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