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:	1.4.0-1
Depends:	R (≥ 2.14.0), methods, MASS, NADA, truncnorm
Published:	2022-03-26
Author:	Javier Palarea-Albaladejo [cre, aut], Josep Antoni Martin-Fernandez [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

Documentation:

Reference manual:

zCompositions.pdf

Downloads:

Package source:	zCompositions_1.4.0-1.tar.gz
Windows binaries:	r-devel: zCompositions_1.4.0-1.zip, r-release: zCompositions_1.4.0-1.zip, r-oldrel: zCompositions_1.4.0-1.zip
macOS binaries:	r-release (arm64): zCompositions_1.4.0-1.tgz, r-oldrel (arm64): zCompositions_1.4.0-1.tgz, r-release (x86_64): zCompositions_1.4.0-1.tgz, r-oldrel (x86_64): zCompositions_1.4.0-1.tgz
Old sources:	zCompositions archive

Reverse dependencies:

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

Linking:

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