Compositionalzerocens
Modelling Zero Values in Compositional Data Using a Censored Model
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>.
Versions across snapshots
| Version | Repository | File | Size |
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1.0 |
rolling linux/jammy R-4.5 | Compositionalzerocens_1.0.tar.gz |
30.9 KiB |
1.0 |
rolling linux/noble R-4.5 | Compositionalzerocens_1.0.tar.gz |
30.8 KiB |
1.0 |
rolling source/ R- | Compositionalzerocens_1.0.tar.gz |
4.4 KiB |
1.0 |
latest linux/jammy R-4.5 | Compositionalzerocens_1.0.tar.gz |
30.9 KiB |
1.0 |
latest linux/noble R-4.5 | Compositionalzerocens_1.0.tar.gz |
30.8 KiB |
1.0 |
latest source/ R- | Compositionalzerocens_1.0.tar.gz |
4.4 KiB |
1.0 |
2026-04-23 source/ R- | Compositionalzerocens_1.0.tar.gz |
0 B |