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Compositionalcln  

Modelling Compositional Data with Zero Values
View on CRAN: Click here


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

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

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



Attach the package and use:
library("Compositionalcln")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-22
Latest Update: 2026-09-22
Description:
Modelling structural zeros in compositional data using a conditional logistic normal model as described by Aitchison (1986), where MLE (Maximum Likelihood Estimation) is performed via the EM (Expectation-Maximization) algorithm. The relevant paper is Alzeley and Tsagris (2026) <doi:10.48550/arXiv.2608.29954>.
How to cite:
Michail Tsagris (2026). Compositionalcln: Modelling Compositional Data with Zero Values. R package version 1.0, https://cran.r-project.org/web/packages/Compositionalcln. Accessed 25 Oct. 2026.
Previous versions and publish date:
1.0 (2026-09-22 09:10), (2026-10-07 00:01)
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Complete documentation for Compositionalcln
Functions, R codes and Examples using the Compositionalcln R package
Full Compositionalcln package functions and examples
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