Package: zCompositions 1.6.2

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>).

Authors:Javier Palarea-Albaladejo [cre, aut], Josep Antoni Martin-Fernandez [aut]

zCompositions_1.6.2.tar.gz
zCompositions_1.6.2.zip(r-4.7)zCompositions_1.6.2.zip(r-4.6)zCompositions_1.6.2.zip(r-4.5)
zCompositions_1.6.2.tgz(r-4.6-any)zCompositions_1.6.2.tgz(r-4.5-any)
zCompositions_1.6.2.tar.gz(r-4.7-any)zCompositions_1.6.2.tar.gz(r-4.6-any)
zCompositions_1.6.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
zCompositions/json (API)

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

Bug tracker:https://github.com/japal/zcompositions/issues

Datasets:
  • LPdata - La Paloma data set
  • LPdataZM - La Paloma data set
  • mdl - Water data set: matrix of limits of detection
  • Pigs - Pigs data set
  • Water - Water data set

On CRAN:

Conda:

censored-datacompositional-dataimputation-methodsmissing-datanondetection

9.43 score 10 stars 12 packages 504 scripts 5.0k downloads 56 mentions 13 exports 6 dependencies

Last updated from:a44822d645. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK150
source / vignettesOK206
linux-release-x86_64OK173
macos-release-arm64OK106
macos-oldrel-arm64OK99
windows-develOK114
windows-releaseOK97
windows-oldrelOK102
wasm-releaseOK104

Exports:cmultRepllrDAlrEMlrEMpluslrSVDlrSVDplusmultKMmultLNmultReplmultReplusperLogsplineKMzPatterns

Dependencies:latticeMASSMatrixNADAsurvivaltruncnorm