zCompositions: Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets

Principled methods for the imputation of zeros, left-censored and missing data in compositional data sets (Palarea-Albaladejo and Martin-Fernandez (2015) <doi:10.1016/j.chemolab.2015.02.019>).

Version: 1.5.0-4
Depends: R (≥ 2.14.0), methods, MASS, NADA, truncnorm
Published: 2024-06-19
DOI: 10.32614/CRAN.package.zCompositions
Author: Javier Palarea-Albaladejo ORCID iD [cre, aut], Josep Antoni Martin-Fernandez ORCID iD [aut]
Maintainer: Javier Palarea-Albaladejo <javier.palarea at udg.edu>
BugReports: https://github.com/Japal/zCompositions/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/Japal/zCompositions
NeedsCompilation: no
Citation: zCompositions citation info
Materials: README NEWS
In views: MissingData
CRAN checks: zCompositions results


Reference manual: zCompositions.pdf


Package source: zCompositions_1.5.0-4.tar.gz
Windows binaries: r-devel: zCompositions_1.5.0-4.zip, r-release: zCompositions_1.5.0-4.zip, r-oldrel: zCompositions_1.5.0-4.zip
macOS binaries: r-release (arm64): zCompositions_1.5.0-4.tgz, r-oldrel (arm64): zCompositions_1.5.0-4.tgz, r-release (x86_64): zCompositions_1.5.0-4.tgz, r-oldrel (x86_64): zCompositions_1.5.0-4.tgz
Old sources: zCompositions archive

Reverse dependencies:

Reverse depends: ALDEx2
Reverse imports: aIc, countprop, metamicrobiomeR, omicplotR, robCompositions
Reverse suggests: codacore


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