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Simplicial-simplicial regression is performed via the simplicially constrained spatial median regression model. The regression coefficients are constrained to be non-negative and sum to 1. For the spatial median regression the iteratively reweighted least squares algorithm is adopted, where quadratic programming is used to impose the constraints.
| Version: | 1.0 |
| Depends: | R (≥ 4.0) |
| Imports: | cluster, Compositional, graphics, MASS, Matrix, quadprog, rangen, Rfast, stats |
| Suggests: | Rfast2 |
| Published: | 2026-09-12 |
| DOI: | 10.32614/CRAN.package.Compositionalscsmr |
| 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: | Compositionalscsmr results |
| Reference manual: | Compositionalscsmr.html , Compositionalscsmr.pdf |
| Package source: | Compositionalscsmr_1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): Compositionalscsmr_1.0.tgz, r-release (x86_64): Compositionalscsmr_1.0.tgz, r-oldrel (x86_64): Compositionalscsmr_1.0.tgz |
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These binaries (installable software) and packages are in development.
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