Package: zCompositions 1.5.0-4

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_1.5.0-4.tar.gz
zCompositions_1.5.0-4.zip(r-4.5)zCompositions_1.5.0-4.zip(r-4.4)zCompositions_1.5.0-4.zip(r-4.3)
zCompositions_1.5.0-4.tgz(r-4.5-any)zCompositions_1.5.0-4.tgz(r-4.4-any)zCompositions_1.5.0-4.tgz(r-4.3-any)
zCompositions_1.5.0-4.tar.gz(r-4.5-noble)zCompositions_1.5.0-4.tar.gz(r-4.4-noble)
zCompositions_1.5.0-4.tgz(r-4.4-emscripten)zCompositions_1.5.0-4.tgz(r-4.3-emscripten)
zCompositions.pdf |zCompositions.html
zCompositions/json (API)
NEWS

# 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
  • Pigs - Pigs data set
  • Water - Water data set
  • mdl - Water data set: matrix of limits of detection

On CRAN:

censored-datacompositional-dataimputation-methodsmissing-datanondetection

8.55 score 7 stars 11 packages 370 scripts 2.8k downloads 56 mentions 16 exports 6 dependencies

Last updated 8 months agofrom:710c849e07. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 14 2025
R-4.5-winOKFeb 14 2025
R-4.5-macOKFeb 14 2025
R-4.5-linuxOKFeb 14 2025
R-4.4-winOKFeb 14 2025
R-4.4-macOKFeb 14 2025
R-4.3-winOKFeb 14 2025
R-4.3-macOKFeb 14 2025

Exports:cmultRepllcTestlrDAlrEMlrEMpluslrSVDlrSVDplusmultKMmultLNmultReplmultReplussplineKMzPatternszVarArrayzVarArrayErrorzVarArrayTest

Dependencies:latticeMASSMatrixNADAsurvivaltruncnorm