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Compositionalzerocens  

Modelling Zero Values in Compositional Data Using a Censored Model
View on CRAN: Click here


Download and install Compositionalzerocens package within the R console
Install from CRAN:
install.packages("Compositionalzerocens")

Install from Github:
library("remotes")
install_github("cran/Compositionalzerocens")

Install by package version:
library("remotes")
install_version("Compositionalzerocens", "1.0")



Attach the package and use:
library("Compositionalzerocens")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-08
Latest Update: 2026-08-08
Description:
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>.
How to cite:
Michail Tsagris (2026). Compositionalzerocens: Modelling Zero Values in Compositional Data Using a Censored Model. R package version 1.0, https://cran.r-project.org/web/packages/Compositionalzerocens. Accessed 25 Oct. 2026.
Previous versions and publish date:
1.0 (2026-08-08 14:30), (2026-09-29 12:20)
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Complete documentation for Compositionalzerocens
Functions, R codes and Examples using the Compositionalzerocens R package
Full Compositionalzerocens package functions and examples
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