Package: Compositionalcln 1.1

Michail Tsagris

Compositionalcln: Modelling Compositional Data with Zero Values

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>.

Authors:Michail Tsagris [aut, cre]

Compositionalcln_1.1.tar.gz
Compositionalcln_1.1.zip(r-4.7-any)Compositionalcln_1.1.zip(r-4.6-any)
Compositionalcln_1.1.tar.gz(r-4.7-any)Compositionalcln_1.1.tar.gz(r-4.6-any)
Compositionalcln_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Compositionalcln/json (API)

# Install 'Compositionalcln' in R:
install.packages('Compositionalcln', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 247 downloads 16 exports 8 dependencies

Last updated from:dd6194e369. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK142
source / vignettesOK192
linux-releaseOK141
windows-develOK94
windows-releaseOK94
wasm-releaseOK119

Exports:boot.clnmleboot.clnregcln.bcrcln.biplotcln.condregscln.contourcln.crcln.jamescln.mlecln.pcacln.regcln.regscln.residplotdclnfbed.clnternary

Dependencies:clusterMASSrangenRcppRcppArmadilloRcppParallelRfastzigg