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-any)zCompositions_1.6.2.zip(r-4.6-any)zCompositions_1.6.2.zip(r-4.5-any)
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

9.26 score 10 stars 13 packages 432 scripts 5.5k downloads 56 mentions 13 exports 6 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK122
source / vignettesOK140
linux-releaseOK178
macos-releaseOK175
macos-oldrelOK169
windows-develOK89
windows-releaseOK95
windows-oldrelOK97
wasm-releaseOK113

Exports:cmultRepllrDAlrEMlrEMpluslrSVDlrSVDplusmultKMmultLNmultReplmultReplusperLogsplineKMzPatterns

Dependencies:latticeMASSMatrixNADAsurvivaltruncnorm