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.

Version: 1.3.3
Depends: R (≥ 2.14.0), MASS, NADA, truncnorm
Published: 2019-11-17
Author: Javier Palarea-Albaladejo and Josep Antoni Martin-Fernandez
Maintainer: Javier Palarea-Albaladejo <javier.palarea at bioss.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: zCompositions citation info
Materials: README NEWS
In views: MissingData
CRAN checks: zCompositions results


Reference manual: zCompositions.pdf
Package source: zCompositions_1.3.3.tar.gz
Windows binaries: r-devel: zCompositions_1.3.3.zip, r-devel-gcc8: zCompositions_1.3.3.zip, r-release: zCompositions_1.3.3.zip, r-oldrel: zCompositions_1.3.3.zip
OS X binaries: r-release: zCompositions_1.3.3.tgz, r-oldrel: zCompositions_1.3.3.tgz
Old sources: zCompositions archive

Reverse dependencies:

Reverse imports: baytrends, metamicrobiomeR, robCompositions


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