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Modelling structural zeros in compositional data assuming a latent Gaussian model, where MLE is performed via the EM algorithm. The relevant paper is Tsagris M. (2026). Modelling structural zeros in compositional data via a zero-censored multivariate normal model. <doi:10.48550/arXiv.2208.13073>.
| Version: | 1.0 |
| Depends: | R (≥ 4.0) |
| Imports: | Compositional, far, Rfast, stats |
| Suggests: | Rfast2 |
| Published: | 2026-08-08 |
| DOI: | 10.32614/CRAN.package.Compositionalzerocens |
| 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: | Compositionalzerocens results |
| Reference manual: | Compositionalzerocens.html , Compositionalzerocens.pdf |
| Package source: | Compositionalzerocens_1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: Compositionalzerocens_1.0.zip, r-oldrel: Compositionalzerocens_1.0.zip |
| macOS binaries: | r-release (arm64): Compositionalzerocens_1.0.tgz, r-oldrel (arm64): Compositionalzerocens_1.0.tgz, r-release (x86_64): Compositionalzerocens_1.0.tgz, r-oldrel (x86_64): Compositionalzerocens_1.0.tgz |
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